Available to hire
I’m a data-driven software engineer and MSc Data Science candidate at Trinity College Dublin, passionate about solving complex problems with scalable systems and impactful machine learning models.
With a background in building high-performance video encoding pipelines, predictive optimization tools, and AI solutions for healthcare, I bring a balance of engineering precision and analytical curiosity. I’ve contributed to product performance improvements, built cloud-native pipelines using AWS, and delivered actionable insights using tools like Python, XGBoost, and React.js. I thrive in fast-paced environments and am now seeking opportunities where I can build intelligent systems with measurable business impact.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Amharic
Advanced
Afar
Advanced
Javanese
Advanced
Work Experience
Software Engineer at Multicoreware Inc.
August 31, 2023 - July 11, 2025Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes using API integrations. Designed and implemented a predictive model with XGBoost to recommend optimal encoding presets, reducing encoding time by 23% while preserving quality. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization and scaling for real-time throughput, decreasing bottlenecks by 40%. Optimized the MCTF module to run 1.5× faster for latency-sensitive applications. Led cross-functional collaboration with Git-based workflows and CI, supporting release pipelines and peer-reviewed patches. Delivered end-to-end optimizations merging ML intelligence with system-level engineering, including database optimization.
Software Engineer Intern at Multicoreware Inc.
June 30, 2022 - July 11, 2025Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistics to improve encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Excel to identify bottlenecks, delivering a reporting tool for teams. Maintained detailed engineering documentation to accelerate onboarding and ensure reproducibility. Enhanced performance analytics and operational visibility using profiling, statistical modeling, and automated insights, including Angular integrations.
Software Engineer at Multicoreware Inc.
August 31, 2023 - July 11, 2025Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases using API integrations. Designed and implemented a predictive model using XGBoost to dynamically recommend optimal encoding presets for “Ultrazig,” reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications. Drove cross-functional collaboration through Git-based workflows and CI integrations, supporting release pipelines and peer-reviewed patches for consistent quality. Utilized Ja
Software Engineer Intern at Multicoreware Inc.
June 30, 2022 - July 11, 2025Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Excel to surface bottlenecks, creating a reporting tool used by teams. Leveraged Web developer skills. Maintained detailed engineering logs and documentation that accelerated team onboarding and ensured reproducibility across iterative deployments. Used Database skills. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights, including Angular integrations.
Software Engineer at Multicoreware Inc.
August 31, 2023 - July 11, 2025Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases using API integrations. Designed and implemented a predictive model using XGBoost to dynamically recommend optimal encoding presets for “Ultrazig,” reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications. Drove cross-functional collaboration through Git-based workflows and CI integrations, supporting release pipelines and peer-reviewed patches for consistent quality. Utilized Ja
Software Engineer Intern at Multicoreware Inc.
June 30, 2022 - July 11, 2025Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Excel to surface bottlenecks, creating a reporting tool used by teams. Leveraged Web developer skills. Maintained detailed engineering logs and documentation that accelerated team onboarding and ensured reproducibility across iterative deployments. Used Database skills. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights, including Angular integrations.
Software Engineer at Multicoreware Inc.
August 31, 2023 - July 11, 2025Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases. Leveraged C++ and assembly language for low-level optimizations. Designed and implemented a predictive model using XGBoost to dynamically recommend optimal encoding presets, reducing encoding time by 23% while preserving perceptual quality. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications. Drove cross-functional collaboration through Git-based workflows and CI integrations, supporting release pipelines and peer-reviewed patches for consistent quality. Delivered end-to-end o
Software Engineer Intern at Multicoreware Inc.
June 30, 2022 - July 11, 2025Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Excel to surface bottlenecks, creating a reporting tool used by teams. Maintained detailed engineering logs and documentation that accelerated team onboarding and ensured reproducibility across iterative deployments. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights.
Software Engineer at Multicoreware Inc.
August 31, 2023 - July 11, 2025Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases. Leveraged C++ and assembly language for low-level optimizations. Designed and implemented a predictive model using XGBoost to dynamically recommend optimal encoding presets for “Ultrazig,” reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications. Drove cross-functional collaboration through Git-based workflows and CI integrations, supporting release pipelines and peer-reviewed p
Software Engineer Intern at Multicoreware Inc.
June 30, 2022 - July 11, 2025Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Excel to surface bottlenecks, creating a reporting tool used by teams. Maintained detailed engineering logs and documentation that accelerated team onboarding and ensured reproducibility across iterative deployments. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights.
Software Engineer at Multicoreware Inc.
August 31, 2023 - July 22, 2025Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes. Designed and implemented a predictive model using XGBoost to dynamically recommend optimal encoding presets, reducing encoding time by 23%. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization and scaling, which led to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering module within x265 to execute 1.5 times faster, enhancing real-time performance. Fostered cross-functional collaboration through Git workflows and CI integrations, supporting release pipelines and peer-reviewed patches for consistent quality. Delivered end-to-end optimizations merging machine learning with system-level engineering to elevate product efficiency and scalability.
Software Engineer Intern at Multicoreware Inc.
June 30, 2022 - July 22, 2025Used Intel VTune Profiler to capture detailed performance metrics and conducted regression diagnostics using Python and statistical methods, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Excel, creating reporting tools used by teams. Maintained detailed engineering logs and documentation to accelerate onboarding and ensure reproducibility. Enhanced performance analytics and operational visibility by integrating profiling, statistical modeling, and automated insights.
Software Engineer at Multicoreware Inc.
August 31, 2023 - July 23, 2025Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases. Designed and implemented a predictive model using XGBoost for dynamic encoding preset recommendations for “Ultrazig,” reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications. Drove cross-functional collaboration through Git-based workflows and CI/CD integrations, supporting release pipelines and peer-reviewed patches for consistent quality. Delivered end-to-end optimizations in
Software Engineer Intern at Multicoreware Inc.
June 30, 2022 - July 23, 2025Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Excel to surface bottlenecks, creating a reporting tool used by teams. Maintained detailed engineering logs and documentation that accelerated team onboarding and ensured reproducibility across iterative deployments. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights.
Software Engineer at Multicoreware Inc.
August 31, 2023 - July 26, 2025Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases using WordPress for hosting environment. Designed and implemented a predictive model using XGBoost to dynamically recommend optimal encoding presets for “Ultrazig,” reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications. Drove cross-functional collaboration through Git-based workflows and CI integrations, supporting release pipelines and peer-reviewed patches for consistent qua
Software Engineer Intern at Multicoreware Inc.
June 30, 2022 - July 26, 2025Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35% using WordPress and hosting environment. Automated data visualization pipelines with Matplotlib and Excel to surface bottlenecks, creating a reporting tool used by teams. Maintained detailed engineering logs and documentation that accelerated team onboarding and ensured reproducibility across iterative deployments. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights.
Software Engineer at Multicoreware Inc.
August 1, 2023 - August 5, 2025Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases. Designed and implemented a predictive model using XGBoost and Python to dynamically recommend optimal encoding presets for 'Ultrazig', reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications. Drove cross-functional collaboration through Git-based workflows and CI integrations, supporting release pipelines and peer-reviewed patches for consistent quality. Delivered end-to-end optimi
Software Engineer Intern at Multicoreware Inc.
June 1, 2022 - August 5, 2025Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Excel to surface bottlenecks, creating a reporting tool used by teams. Maintained detailed engineering logs and documentation that accelerated team onboarding and ensured reproducibility across iterative deployments. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights.
Software Engineer Intern at Multicoreware Inc.
June 1, 2022 - October 6, 2025Utilized performance profiling (Intel VTune) and Python-based diagnostics to identify inefficiencies in video encoding pipelines, increasing encoding throughput by 35%. Automated data visualization pipelines with Matplotlib/Seaborn and maintained Confluence-based documentation to accelerate onboarding and reproducibility. Implemented Bash-driven automation to surface bottlenecks and improve operational visibility.
Software Engineer at Multicoreware Inc.
August 1, 2023 - October 6, 2025Re-architected core components of the x265 video codec in C++ to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift. Built a predictive model using XGBoost and Python for optimal encoding presets, reducing encoding time by 23% without quality loss. Developed and deployed a cloud-based x265 encoding pipeline on AWS with Docker, automating resource monitoring and scaling to reduce bottlenecks by 40%. Optimized the Multi-Core Temporal Filtering (MCTF) module to 1.5× faster via multithreading and collaborated across teams using Git workflows and Jenkins CI.
Software Engineer at Multicoreware Inc.
August 1, 2023 - October 6, 2025Re-architected core components of the x265 video codec using C++ to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases. Designed and implemented a predictive model using XGBoost and Python for optimal encoding presets in Ultrazig, reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS using Docker containerization, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications with multithreading techniques. Drove cross-functional collaboration through Git-based workflows and Jenkins CI integrations, supporting release pipelines and peer-reviewed patc
Software Engineer Intern at Multicoreware Inc.
June 1, 2022 - October 6, 2025Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Seaborn in Python, creating a reporting tool used by teams to surface bottlenecks. Maintained detailed engineering logs and documentation using Confluence, accelerating team onboarding and ensuring reproducibility across iterative deployments. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights using Bash scripting.
Software Engineer at Multicoreware Inc.
August 1, 2023 - August 1, 2023Re-architected core components of the x265 video codec using Java and Spring Boot to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases. Designed and implemented a predictive model using XGBoost and Python for dynamic recommendation of optimal encoding presets for Ultrazig, reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS utilizing PostgreSQL for data management, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications. Drove cross-functional collaboration through Git-based workflows and CI integrations with Jenkins, supporting release pip
Software Engineer Intern at Multicoreware Inc.
June 1, 2022 - June 1, 2022Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Excel to surface bottlenecks, creating a reporting tool used by teams. Maintained detailed engineering logs and documentation that accelerated team onboarding and ensured reproducibility across iterative deployments. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights.
Software Engineer at Multicoreware Inc.
August 31, 2023 - August 31, 2023Re-architected core components of the x265 video codec to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases. Designed and implemented a predictive model using XGBoost and Python for dynamic encoding preset recommendations for Ultrazig, reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS utilizing EC2 and S3, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications through low-level system optimizations. Drove cross-functional collaboration through Git-based workflows and CI integrations with Jenkins, supporting release pipelines and peer-rev
Software Engineer Intern at Multicoreware Inc.
June 30, 2022 - June 30, 2022Utilized Intel VTune Profiler to capture fine-grained performance metrics and performed regression diagnostics using Python and statistical methods to identify and resolve inefficiencies, improving encoding throughput by 35% through full stack development optimizations. Automated data visualization pipelines with Matplotlib and Excel to surface bottlenecks, creating a reporting tool used by teams for enhanced operational visibility. Maintained detailed engineering logs and documentation that accelerated team onboarding and ensured reproducibility across iterative deployments using version control systems. Accelerated performance analytics and operational visibility across video systems by integrating profiling, statistical modeling, and automated insights within the frontend development lifecycle.
Senior Software Engineer at Multicoreware Inc.
August 1, 2023 - August 1, 2023Re-architected core components of the x265 video codec using C++ and Python to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases. Designed and implemented a predictive AI/ML model using XGBoost to dynamically recommend optimal encoding presets for Ultrazig, reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications through C++ optimizations. Drove cross-functional collaboration through Git-based CI/CD workflows and release pipelines for consistent quality across projects.
Senior Software Engineer at Multicoreware Inc.
August 31, 2023 - August 31, 2023Re-architected core components of the x265 video codec using C++ to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across client use cases. Designed and implemented a predictive model using XGBoost and Python for dynamic recommendation of optimal encoding presets for “Ultrazig,” reducing encoding time by 23% while preserving perceptual quality across supported platforms. Developed and deployed a cloud-based x265 encoding pipeline on AWS utilizing DevOps practices, automating resource utilization monitoring and scaling for real-time throughput, leading to a 40% decrease in encoding bottlenecks. Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster, enhancing real-time performance in latency-sensitive applications. Drove cross-functional collaboration through Git-based workflows and CI/CD integrations, supporting release pipelines and peer-reviewed patches fo
Software Engineer at Multicoreware Inc.
July 1, 2022 - August 1, 2023Re-architected core components of the x265 video codec in C++ to improve visual quality while maintaining HEVC compliance, achieving a 12% performance uplift and enabling superior streaming across client use cases. Designed and deployed a cloud-based encoding pipeline on AWS (EC2, S3) with auto-scaling, reducing encoding bottlenecks by 40%. Implemented and deployed a predictive model using XGBoost and Python for dynamic encoding preset recommendations, cutting encoding time by 23% while preserving perceptual quality. Optimized the MCTF module for 1.5x faster real-time performance. Collaborated across teams with Git-based workflows and CI/CD using Jenkins.
Software Engineer Intern at Multicoreware Inc.
September 1, 2021 - June 1, 2022Used Intel VTune Profiler to identify performance bottlenecks, improving encoding throughput by 35%. Automated data visualization pipelines with Matplotlib and Pandas to surface bottlenecks. Contributed to onboarding and documentation, and supported cross-functional teams with performance analytics via JavaScript-based dashboards.
Education
M.S. in Computer Science at Trinity College Dublin
September 1, 2023 - July 11, 2025B.Tech at Bannari Amman Institute of Technology
August 1, 2018 - June 30, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 31, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 30, 2022M.S. at Trinity College Dublin
September 1, 2023 - October 31, 2024B.Tech at Bannari Amman Institute of Technology
August 1, 2018 - June 30, 2022B.Tech at Bannari Amman Institute of Technology
August 1, 2018 - June 30, 2022M.S. at Trinity College Dublin
September 1, 2023 - October 31, 2024B.Tech at Bannari Amman Institute of Technology
August 1, 2018 - June 30, 2022M.S. in Computer Science at Trinity College Dublin
September 1, 2023 - October 31, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 30, 2022M.S. at Trinity College Dublin
September 1, 2023 - July 23, 2025B.Tech at Bannari Amman Institute of Technology
August 1, 2018 - June 30, 2022M.S. at Trinity College Dublin
September 1, 2023 - October 31, 2024B.Tech at Bannari Amman Institute of Technology
August 1, 2018 - June 30, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022M.S. in Computer Science (Data Science) at Trinity College Dublin
September 1, 2023 - October 1, 2024B.Tech in Information Technology at Bannari Amman Institute of Technology
August 1, 2018 - June 1, 2022Qualifications
Databricks Fundamentals
January 11, 2030 - July 11, 2025Feature Engineering
January 11, 2030 - July 11, 2025AI Practitioner Essentials
January 11, 2030 - July 11, 2025Databricks Fundamentals
January 1, 2023 - December 31, 2023Feature Engineering
January 1, 2023 - December 31, 2023AI Practitioner Essentials
January 1, 2023 - December 31, 2023Databricks Fundamentals
January 1, 2021 - December 31, 2021Feature Engineering
January 1, 2021 - December 31, 2021AI Practitioner Essentials
January 1, 2021 - December 31, 2021Databricks Fundamentals
January 11, 2030 - July 11, 2025Feature Engineering
January 11, 2030 - July 11, 2025AI Practitioner Essentials
January 11, 2030 - July 11, 2025Databricks Fundamentals
January 11, 2030 - July 11, 2025Feature Engineering
January 11, 2030 - July 11, 2025AI Practitioner Essentials
January 11, 2030 - July 11, 2025Databricks Fundamentals
January 1, 2023 - December 31, 2023Feature Engineering
January 1, 2023 - December 31, 2023AI Practitioner Essentials
January 1, 2023 - December 31, 2023Databricks Fundamentals
January 11, 2030 - July 23, 2025Feature Engineering
January 11, 2030 - July 23, 2025AI Practitioner Essentials
January 11, 2030 - July 23, 2025Databricks Fundamentals
January 11, 2030 - July 26, 2025Feature Engineering
January 11, 2030 - July 26, 2025AI Practitioner Essentials
January 11, 2030 - July 26, 2025Databricks Fundamentals
January 11, 2030 - August 5, 2025Databricks Academy Feature Engineering
January 11, 2030 - August 5, 2025Kaggle AI Practitioner Essentials
January 11, 2030 - August 5, 2025AWS Training
January 11, 2030 - August 5, 2025Databricks Fundamentals
January 11, 2030 - October 6, 2025Databricks Academy Fundamentals
January 11, 2030 - October 6, 2025AI Practitioner Essentials
January 11, 2030 - October 6, 2025AWS Training
January 11, 2030 - October 6, 2025Databricks Fundamentals
January 11, 2030 - October 6, 2025Databricks Academy
January 11, 2030 - October 6, 2025Kaggle AI Practitioner Essentials
January 11, 2030 - October 6, 2025AWS Training
January 11, 2030 - October 6, 2025DataBricks Fundamentals
January 11, 2030 - October 27, 2025DataBricks Academy
January 11, 2030 - October 27, 2025Kaggle AI Practitioner Essentials
January 11, 2030 - October 27, 2025AWS Training
January 11, 2030 - October 27, 2025Data bricks Fundamentals
January 11, 2030 - October 27, 2025Data bricks Academy Feature Engineering Essentials
January 11, 2030 - October 27, 2025Kaggle AI Practitioner Essentials
January 11, 2030 - October 27, 2025AWS Training
January 11, 2030 - October 27, 2025Databricks Fundamentals
January 11, 2030 - October 29, 2025Databricks Academy
January 11, 2030 - October 29, 2025Feature Engineering, Kaggle AI Practitioner Essentials
January 11, 2030 - October 29, 2025AWS Training
January 11, 2030 - October 29, 2025Databricks Fundamentals
January 11, 2030 - October 30, 2025Databricks Academy
January 11, 2030 - October 30, 2025Feature Engineering, Kaggle AI Practitioner Essentials
January 11, 2030 - October 30, 2025AWS Training
January 11, 2030 - October 30, 2025Databricks Fundamentals
January 11, 2030 - November 2, 2025Databricks Academy Essentials
January 11, 2030 - November 2, 2025Kaggle AI Practitioner Essentials
January 11, 2030 - November 2, 2025AWS Training
January 11, 2030 - November 2, 2025Databricks Fundamentals
January 11, 2030 - December 17, 2025Databricks Academy
January 11, 2030 - December 17, 2025Kaggle AI Practitioner Essentials
January 11, 2030 - December 17, 2025AWS Training
January 11, 2030 - December 17, 2025Databricks Fundamentals
January 11, 2030 - December 17, 2025Databricks Academy
January 11, 2030 - December 17, 2025Feature Engineering Essentials
January 11, 2030 - December 17, 2025AWS Training
January 11, 2030 - December 17, 2025Kaggle AI Practitioner Essentials
January 11, 2030 - December 17, 2025Industry Experience
Software & Internet, Healthcare, Computers & Electronics, Media & Entertainment, Education, Professional Services
- Re-architected core components of the x265 video codec to improve visual quality while maintaining
HEVC compliance, achieving a 12% performance uplift and enabling superior streaming outcomes across
client use cases. - Designed and implemented a predictive model using XGBoost to dynamically recommend optimal
encoding presets for “Ultrazig,” reducing encoding time by 23% while preserving perceptual quality
across supported platforms. - Developed and deployed a cloud-based x265 encoding pipeline on AWS using Terraform and EKS,
automating resource utilization monitoring and scaling for real-time throughput, leading to a 40%
decrease in encoding bottlenecks. - Optimized the Multi-Core Temporal Filtering (MCTF) module within x265 to execute 1.5× faster,
enhancing real-time performance in latency sensitive applications. - Drove cross-functional collaboration through Git workflows and CI/CD integrations, supporting release
pipelines and peer-reviewed patches for consistent quality. - Delivered end-to-end optimizations in high-performance video systems, merging ML intelligence with
system-level engineering to elevate product efficiency and scalability
Multicoreware Inc.
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