I am a passionate software and cloud developer with extensive experience in designing and deploying AI-ready platforms, cloud services, and dynamic container-based environments. I specialize in building scalable backend solutions and integrating advanced AI models to enhance user experience and system efficiency. At Intel Corporation, I lead projects involving state-of-the-art AI platforms, leveraging my expertise in Kubernetes, Docker, and cloud platforms such as AWS and Azure. I hold a Master of Science in Computer Science from the University of North Carolina at Charlotte with a perfect GPA and a Bachelor's in Computer Science Engineering from Acropolis Institute of Technology and Research. My background also includes strong skills in programming languages like C, C++, Python, Java, and Golang, with certifications that complement my technical abilities. I am dedicated to building robust cloud and AI infrastructure solutions that meet modern enterprise needs.

Nikhil Bansal

I am a passionate software and cloud developer with extensive experience in designing and deploying AI-ready platforms, cloud services, and dynamic container-based environments. I specialize in building scalable backend solutions and integrating advanced AI models to enhance user experience and system efficiency. At Intel Corporation, I lead projects involving state-of-the-art AI platforms, leveraging my expertise in Kubernetes, Docker, and cloud platforms such as AWS and Azure. I hold a Master of Science in Computer Science from the University of North Carolina at Charlotte with a perfect GPA and a Bachelor's in Computer Science Engineering from Acropolis Institute of Technology and Research. My background also includes strong skills in programming languages like C, C++, Python, Java, and Golang, with certifications that complement my technical abilities. I am dedicated to building robust cloud and AI infrastructure solutions that meet modern enterprise needs.

Available to hire

I am a passionate software and cloud developer with extensive experience in designing and deploying AI-ready platforms, cloud services, and dynamic container-based environments. I specialize in building scalable backend solutions and integrating advanced AI models to enhance user experience and system efficiency. At Intel Corporation, I lead projects involving state-of-the-art AI platforms, leveraging my expertise in Kubernetes, Docker, and cloud platforms such as AWS and Azure.

I hold a Master of Science in Computer Science from the University of North Carolina at Charlotte with a perfect GPA and a Bachelor’s in Computer Science Engineering from Acropolis Institute of Technology and Research. My background also includes strong skills in programming languages like C, C++, Python, Java, and Golang, with certifications that complement my technical abilities. I am dedicated to building robust cloud and AI infrastructure solutions that meet modern enterprise needs.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

Amharic
Advanced
Javanese
Advanced

Work Experience

Cloud Software Development Engineer at Intel Corporation
February 12, 2024 - Present
Led proof of concept to production rollout of an AI-ready JupyterHub platform providing on-demand access to 30+ Intel GPU and Habana Gaudi nodes for running multiple AI models including LLMs and image generation. Enabled users to launch custom container-based environments with persistent storage and model-specific dependencies. Developed key features including MetalLB load balancer, NFS dynamic volume provisioning, Azure AD AuthN/AuthZ, microservices for user registration and premium model access, custom Dockerfile integration in AWS ECR, and intelligent node/GPU scheduling. Authored comprehensive design documentation and secured Architecture Board approval. Integrated Prometheus for monitoring, Nessus for security scanning, and network policies with Calico and Istio. Enhanced user experience with custom JupyterLab extensions.
Cloud Software Development Engineer at Intel Corporation
February 12, 2024 - Present
Led the proof of concept to production rollout of an AI-ready JupyterHub platform, providing on-demand access to Intel GPU and Habana Gaudi nodes for running numerous Gen AI and AI models including LLMs, text-to-image, and Deep Seek. Enabled container-based user environments with persistent storage and pre-installed model-specific dependencies. Developed features including MetalLB load balancer, NFS dynamic volume provisioning, Azure AD AuthN/AuthZ, microservice for user registration, model-based callback routing, rate limiting, and coupon-based premium model access. Designed and integrated custom Dockerfiles in AWS ECR for dynamic image selection. Authored comprehensive design documentation, architecture diagrams, and recovery plans. Added Prometheus monitoring, Nessus security scanning, and enforced network policies using Calico and Istio. Developed custom JupyterLab extensions enhancing user experience and implemented intelligent node and GPU card scheduling for resource optimizatio
Cloud Software Development Engineer at Intel Corporation
February 12, 2024 - Present
Led proof of concept to production rollout of an AI-ready JupyterHub platform offering on-demand access to Intel GPU and Habana Gaudi nodes for running Gen AI and AI models including LLMs and PyTorch-based applications. Enabled users to work in custom container environments with persistent storage and model-specific dependencies. Developed key features such as MetalLB load balancer integration, NFS dynamic volume provisioning, Azure AD authentication and authorization, and a microservice architecture for user registration and premium access management. Designed and integrated custom Dockerfiles enabling dynamic image selection for user models and authored comprehensive design documentation along with architectural diagrams and recovery plans. Incorporated Prometheus for monitoring, Nessus for security scanning, and enforced network policies using Calico and Istio. Developed custom JupyterLab extensions improving user experience and implemented intelligent node and GPU scheduling for re
Graduate Technical Intern at Intel Corporation
December 15, 2023 - August 28, 2025
Established JupyterHub architecture solution using Slurm, dynamic user creation with webhooks, and Azure AD authentication. Designed and implemented multiple backend APIs with database architecture for Intel Developer Cloud web services. Developed a cron-job scheduler to provision instances in a Kubernetes cluster every 30 seconds based on user requests. Crafted complex SQL queries to retrieve and manipulate data supporting future enhancement use cases including DDL and DML queries.
Graduate Technical Intern at Intel Corporation
December 15, 2023 - August 21, 2025
Established the JupyterHub architecture solution using Slurm, dynamic user creation with webhooks, and Azure AD authentication. Designed and implemented multiple backend APIs with database architecture for oneAPI Intel Developer Cloud web services. Developed a cron-job scheduler to provision various instances in a Kubernetes cluster every 30 seconds based on user requests. Created complex SQL queries (DDL & DML) to retrieve and manipulate data for future enhancement use cases.
Graduate Technical Intern at Intel Corporation
December 15, 2023 - August 21, 2025
Established JupyterHub architecture solution using Slurm, dynamic user creation with webhooks and Azure AD authentication. Designed and implemented multiple backend APIs with database architecture for oneAPI Intel Developer Cloud web services. Developed a cron-job scheduler to provision instances in Kubernetes clusters every 30 seconds per user requests. Created complex SQL queries for data retrieval and manipulation supporting future enhancements.
Research Assistant at University of North Carolina at Charlotte
April 15, 2023 - August 28, 2025
Worked on a mobile app leveraging AI technology to collect valuable user information via mobile sensors for personalized workout routine recommendations. Developed end-to-end solutions including system needs assessment, partner dependencies, workload balancing, software implementation, testing, and configuration of metrics, alarms, monitors, and dashboards using Java, JavaScript, and AWS. Designed a custom DynamoDB database and API library for integration with data management applications. Established a secure authentication system ensuring data privacy and user confidentiality.
Research Assistant at University of North Carolina at Charlotte
April 15, 2023 - August 21, 2025
Worked on a mobile app leveraging AI technology to collect valuable information from users using mobile sensors, which is then used to offer personalized recommendations to enhance workout routines. Developed numerous end-to-end solutions including system needs analysis, workload balancing, software implementation, testing, and metrics configuration using Java, JavaScript, and AWS. Devised a custom DynamoDB database and API library for integration with the data management application. Established a secure authentication system using AWS to ensure data privacy and user confidentiality.
Research Assistant at University of North Carolina at Charlotte
April 15, 2023 - August 21, 2025
Worked on a mobile app leveraging AI technology to collect user data from mobile sensors to provide personalized workout recommendations. Developed end-to-end solutions including system needs assessment, partner dependencies, workload balancing, software implementation, and monitoring dashboards using Java, JavaScript, and AWS. Designed a custom DynamoDB database and API library for data management. Established a secure authentication system on AWS that ensured data privacy and user confidentiality.
Assistant System Engineer at Tata Consultancy Services Ltd.
July 22, 2022 - August 28, 2025
Transformed appointment scheduler application from legacy architecture to modern MVC architecture. Innovated CloudFormation template for database schema generation in AWS for production release. Designed and established multiple REST APIs from scratch to seamlessly connect microservices with databases optimizing application performance and functionality.
Assistant System Engineer at Tata Consultancy Services Ltd.
July 22, 2022 - August 21, 2025
Transformed the appointment scheduler application from legacy architecture to new generation MVC architecture. Formulated and innovated CloudFormation templates for database schema generation in AWS for production release. Designed and established multiple REST APIs from scratch to seamlessly connect microservices with the database, optimizing application performance and functionality.
Assistant System Engineer at Tata Consultancy Services Ltd.
July 22, 2022 - August 21, 2025
Transformed an appointment scheduler application from a legacy architecture to a modern MVC design. Formulated and innovated CloudFormation templates for database schema generation targeting production releases on AWS. Designed and built multiple REST APIs connecting microservices and databases to optimize application performance and functionality.
Solution Engineer Intern at Deqode Techracers Pvt. Ltd.
May 4, 2021 - August 28, 2025
Implemented geolocation functionality using Google Maps API to enhance user experience with accurate location-based services. Built multiple UI layouts and optimized UI event handling leveraging main and subsidiary worker threads resulting in a seamless and responsive user interface. Utilized data parsing and transfer between multiple fragments using a single activity, reducing average request processing time from 4.8 to 1.1 seconds (74% improvement).
Solution Engineer Intern at Deqode Techracers Pvt. Ltd.
May 4, 2021 - August 21, 2025
Executed geolocation functionality using Google Maps API, enhancing user experience with accurate location-based services. Built multiple UI layouts and optimized UI event handling by skillfully using main and subsidiary activities through worker threads, resulting in a seamless and responsive user interface. Utilized data parsing and data transfer between multiple fragments using a single activity for performance optimization, reducing average request processing time by 74% from 4.8 to 1.1 seconds.
Solution Engineer Intern at Deqode Techracers Pvt. Ltd.
May 4, 2021 - August 21, 2025
Implemented geolocation functionality using Google Maps API to enhance user experience with precise location-based services. Built multiple UI layouts and optimized UI event handling using worker threads for a smooth and responsive interface. Improved data parsing and transfer between fragments to reduce average request processing time by 74%, from 4.8 to 1.1 seconds.

Education

Master of Science in Computer Science at University of North Carolina at Charlotte
August 1, 2022 - December 1, 2023
Bachelor of Technology in Computer Science Engineering at Acropolis Institute of Technology and Research
June 1, 2017 - January 1, 2021
Master of Science in Computer Science at University of North Carolina at Charlotte
August 1, 2022 - December 1, 2023
Bachelor of Technology in Computer Science Engineering at Acropolis Institute of Technology and Research
June 1, 2017 - January 1, 2021
Master of Science in Computer Science at University of North Carolina at Charlotte
August 1, 2022 - December 31, 2023
Bachelor of Technology in Computer Science Engineering at Acropolis Institute of Technology and Research
June 1, 2017 - June 30, 2021

Qualifications

AWS Academy Cloud Foundations
January 11, 2030 - August 21, 2025
Scrum Fundamentals Certified (SFC)
January 11, 2030 - August 21, 2025
The Web Developer Bootcamp
January 11, 2030 - August 21, 2025
Microsoft Technology Associate: Database Administration Fundamentals (MTA)
January 11, 2030 - August 21, 2025
Programming for Everybody (Getting Started with Python)
January 11, 2030 - August 21, 2025
AWS Academy Cloud Foundations
January 11, 2030 - August 21, 2025
Scrum Fundamentals Certified (SFC)
January 11, 2030 - August 21, 2025
The Web Developer Bootcamp
January 11, 2030 - August 21, 2025
Microsoft Technology Associate: Database Administration Fundamentals (MTA)
January 11, 2030 - August 21, 2025
Programming for Everybody (Getting Started with Python)
January 11, 2030 - August 21, 2025
AWS Academy Cloud Foundations
January 11, 2030 - August 28, 2025
Scrum Fundamentals Certified (SFC)
January 11, 2030 - August 28, 2025
The Web Developer Bootcamp
January 11, 2030 - August 28, 2025
Microsoft Technology Associate: Database Administration Fundamentals (MTA)
January 11, 2030 - August 28, 2025
Programming for Everybody (Getting Started with Python)
January 11, 2030 - August 28, 2025

Industry Experience

Computers & Electronics, Software & Internet, Education, Professional Services