About Me

I am a third-year Ph.D. Student in the Department of Electrical and Computer Engineering specializing in Machine Learning and Data Science at the University of California San Diego. I graduated from UCSD with a Master’s in Electrical and Computer Engineering, specializing in Intelligent Systems, Robotics, and Control, in Spring 2023. I am a part of the Boolean Lab, and my advisors are Dr. Debashis Sahoo (advisor) and Dr. Bill Lin (co-advisor). I worked as a Graduate Student Researcher at Lawrence Berkeley National Laboratory, National Energy Research Scientific Computing Center, in the load balancing team (2024) and the data and analytics team (2025). I was supervised by Steven Farrell, Kevin Gott, and Hannah Ross.

I have over two years of full-time professional experience as a Software Engineer focusing on research and development. Additionally, I have completed four quarters of full-time professional experience as a Graduate Intern in Machine Learning and Software Development Engineering in the United States.

During my tenure at Accenture Research and Teradata US (Technology Innovation Office and Optimizer Development Team), I worked on proof-of-concepts and contributed to product development. I designed, built, and configured software applications to align with business processes. My responsibilities included code development and creating software plugins and features. Furthermore, I have worked on large-scale machine learning projects, building end-to-end pipelines, developing algorithms, optimizing models, and deploying.

Research Interests: Distributed Machine Learning, Generative-AI, Vision-AI, DNN/LLM Optimization, Software & Systems, AI/ML Systems, Bioinformatics

I develop novel optimization techniques for deep neural networks (DNNs) and transformer-based models, focusing on efficient model architectures and scalable learning frameworks. My work involves designing quantization, pruning, and fine-tuning strategies to enhance the efficiency and performance of vision and language models. Additionally, I explore distributed learning frameworks to address challenges in decentralized and dynamic data environments. My research integrates software and systems design and leverages data science methodologies to build scalable AI solutions. Additionally, it facilitates efficient training, fine-tuning, and deployment of models in real-world applications spanning bioinformatics, computer vision, and natural language processing.

I’m a member of the Boolean Lab and a student researcher at the National Energy Research Scientific Computing Center Research.

Personal Life:

🏠 Based in: San Diego, California, United States

🏠 Hometown: Rourkela, Odisha, India

🙋 Activities: San Diego Cricket League Player, Acting, Gaming, Youtube/Twitch Streaming