Available to hire
I am an AI/ML engineer with a Master of Science in Computer Science and 3+ years turning LLMs and ML into production-grade automation at scale. I build NLP services, summarization, entity extraction, and SAP/CRM actioning, delivering resilient pipelines on AWS and Azure using PyTorch/TensorFlow, LangChain, and robust MLOps.
My strengths lie in distributed and accelerated computing (Spark, CUDA, MPI) and applied research in reinforcement learning and brain-computer interfaces, with hands-on experience across finance, healthcare, and consumer goods. I enjoy turning complex technical workflows into actionable business insights and helping teams ship reliable, cost-efficient AI solutions.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Software Engineer III, AI/ML, RPA at Haptiq LLC
May 1, 2022 - PresentDrove discovery and PoCs with enterprise clients, translating ambiguous problems into RPA objectives, success metrics, and deployment plans; mentored junior engineers on coding standards and reviews. Built LLM-powered email/actioning services (summarization, entity extraction, SAP/CRM integration) using PyTorch/Hugging Face + FastAPI, with batched inference and async queues for low latency; added dashboards and error budgets. Led solution design and implementation of complex automations that reduced operational costs by 35%, directly impacting customer satisfaction and retention. Integrated AI models into client workflows to summarize and extract actions from customer email requests, reducing response times by 50-70%. Deployed services on AWS and Azure with high availability and scalability.
Student Research Support at University of North Carolina at Charlotte
May 1, 2022 - October 9, 2025Assisted in developing research on using Brain-Computer Interfaces (BCI) in Reinforcement Learning (RL), addressing novel concepts of intrinsic feedback. Analyzed large brain activity datasets to extract patterns using ML techniques. Focused on training forecast models to predict Error-related Potentials (ErrP), improving human-in-the-loop system accuracy. Technologies included Python, PyTorch, and Hugging Face (Transformer).
Software Developer at Webonise Lab
July 1, 2021 - October 9, 2025Developed and deployed end-to-end RPA solutions using Blue Prism, optimizing workflows across multiple industries. Trained, fine-tuned, and deployed ML models in UiPath and Blue Prism, automating tasks that previously required manual intervention. Integrated automation solutions with legacy systems using Python, Java, and VBA, ensuring smooth transitions with minimal client disruption. Provided training and mentorship to junior developers on RPA technologies and best practices.
Software Engineer III, AI/ML, RP at Haptiq LLC
May 1, 2022 - PresentDrove discovery and PoCs with enterprise clients; translated ambiguous problems into RPA objectives, success metrics, and deployment plans; mentored junior engineers on coding standards and reviews. Built LLM-powered email/actioning services (summarization, entity extraction, SAP/CRM integration) using PyTorch/Hugging Face + FastAPI, with batched inference and async queues for low latency; added dashboards and error budgets. Led solution design and implementation of complex automations that reduced operational costs by 35%, improving customer satisfaction and retention. Integrated AI models into existing workflows for clients in finance, healthcare, and consumer goods/services to summarize and extract actions from customer email requests, reducing response times by 50-70%. Deployed services on AWS and Azure with HA and scalability to handle large-scale client operations.
Student Research Support at University of North Carolina at Charlotte
May 1, 2022 - October 9, 2025Assisted in developing research on Brain-Computer Interfaces in Reinforcement Learning, exploring intrinsic feedback. Analyzed large datasets of brain activity and extracted patterns using ML techniques; trained forecast models to predict Error-related Potentials (ErrP) to improve human-in-the-loop systems.
Software Developer at Webonise Lab
July 1, 2021 - October 9, 2025Developed and deployed end-to-end RPA solutions using Blue Prism; trained, fine-tuned, and deployed ML models in UiPath and Blue Prism, automating tasks. Integrated automation solutions with legacy systems using Python, Java, and VBA; mentored junior developers on RPA technologies.
Software Engineer III, AI/ML, RPA at Haptiq LLC
May 1, 2022 - PresentDrove discovery and PoCs with enterprise clients; translated ambiguous problems into RPA objectives, success metrics, and deployment plans; mentored junior engineers on coding standards and reviews. Built LLM-powered email/actioning services (summarization, entity extraction, SAP/CRM integration) using PyTorch/Hugging Face + FastAPI, with batched inference and async queues for low latency; added dashboards and error budgets. Led solution design and implementation of complex automations that reduced operational costs by 35%, resulting in improved customer satisfaction and retention. Integrated AI models into existing workflows for clients in finance, healthcare, and consumer goods and services to summarize and extract actions from customer email requests, reducing response times by 50-70%. Deployed services on AWS and Azure, ensuring high availability and scalability for large-scale client operations.
Student Research Support at University of North Carolina at Charlotte
May 1, 2022 - October 9, 2025Assisted in developing research on Brain-Computer Interfaces (BCI) in Reinforcement Learning (RL), addressing novel concepts of intrinsic feedback. Analyzed massive datasets of brain activity and extracted relevant patterns using ML techniques. Focused on training forecast models to predict Error-related Potentials (ErrP), improving the accuracy of human-in-the-loop systems.
Software Developer at Webonise Lab
July 1, 2021 - October 9, 2025Developed and deployed end-to-end RPA solutions using Blue Prism, optimizing workflows for various applications across multiple industries. Trained, fine-tuned, and deployed machine learning models in UiPath and Blue Prism, automating tasks that previously required manual intervention. Integrated automation solutions with legacy systems using Python, Java, and VBA, ensuring smooth transitions and minimal disruption to client operations. Provided training and mentorship to junior developers on RPA technologies and best practices.
Education
Master of Science in Computer Science at University of North Carolina at Charlotte
August 1, 2021 - May 1, 2023Bachelor of Engineering in Information Technology at University of Pune
August 1, 2015 - May 1, 2018Master of Science in Computer Science at University of North Carolina at Charlotte
August 1, 2021 - May 1, 2023Bachelor of Engineering in Information Technology at University of Pune, India
August 1, 2015 - May 1, 2018Master of Science in Computer Science at University of North Carolina at Charlotte
August 1, 2021 - May 1, 2023Bachelor of Engineering in Information Technology at University of Pune
August 1, 2015 - May 1, 2018Qualifications
Deep Learning with PyTorch: Generative Adversarial Network
January 11, 2030 - October 9, 2025Structuring Machine Learning Projects
January 11, 2030 - October 9, 2025Generative AI with Large Language Models
January 11, 2030 - October 9, 2025Machine Learning by Stanford
January 11, 2030 - October 9, 2025Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization
January 11, 2030 - October 9, 2025Neural Networks and Deep Learning
January 11, 2030 - October 9, 2025Deep Learning with PyTorch: Generative Adversarial Network
January 11, 2030 - October 9, 2025Structuring Machine Learning Projects
January 11, 2030 - October 9, 2025Generative AI with Large Language Models
January 11, 2030 - October 9, 2025Machine Learning by Stanford
January 11, 2030 - October 9, 2025Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization
January 11, 2030 - October 9, 2025Neural Networks and Deep Learning
January 11, 2030 - October 9, 2025Deep Learning with PyTorch: Generative Adversarial Network
January 11, 2030 - October 9, 2025Structuring Machine Learning Projects
January 11, 2030 - October 9, 2025Generative AI with Large Language Models
January 11, 2030 - October 9, 2025Machine Learning by Stanford
January 11, 2030 - October 9, 2025Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization
January 11, 2030 - October 9, 2025Neural Networks and Deep Learning
January 11, 2030 - October 9, 2025Industry Experience
Financial Services, Healthcare, Consumer Goods, Software & Internet, Education, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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