Prajwal Singhania
Research Intern at NVIDIA
College Park, Maryland, United States
Summary
👤
Senior🎓
Top SchoolPrajwal Singhania is a CS PhD student at the University of Maryland specializing in scalable AI training and memory-efficient LLM inference, with nine years of engineering experience spanning research internships at NVIDIA and Microsoft. He graduated top of his class from IIT Kharagpur with a dual B.Tech.+M.Tech. and transitioned from building low-latency trading systems at AlphaGrep to cutting-edge deep learning infrastructure. His work focuses on scaling parallel AI training across large GPU clusters and optimizing inference pipelines for speed and memory, blending systems-level engineering with ML research. Notably, he has hands-on experience deploying production-grade low-latency systems and has applied adaptive quantization ideas during research stints, indicating a knack for practical, performance-driven innovation.
9 years of coding experience
1 year of employment as a software developer
ISC, ISC at Swaraj India Public School, KanpurDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of MarylandBachelor's degree + Master's degree, Computer Science and Engineering, Bachelor's degree + Master's degree, Computer Science and Engineering at Indian Institute of Technology, Kharagpur
Github Skills (36)
pytorch10
inference10
amd10
cuda10
gpt10
llm9
tpu9
llama9
mlops9
llmops9
transformer9
xpu8
evaluation8
parallel-computing7
evaluation-framework7
Programming languages (5)
Github contributions (5)
prajwal1210/prajwal1210.github.io
Aug 2020 - Oct 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:2 PRs, 14 pushes, 1 branch in 4 years 2 months
templategithub-pages-templatemmistakesmistakesjekyll
hpcgroup/loki
Oct 2024 - Feb 2025
Algorithms for approximate attention in LLMs
Contributions:1 review, 2 PRs, 2 pushes in 4 months
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