Arvind Srinivasan
Senior Applied Research Scientist at Unity
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolArvind Srinivasan is a senior applied research scientist with nine years of experience building billion-parameter multimodal foundation models for search and advertising, currently based in Palo Alto. He combines research rigor from an MS in Machine Learning at Carnegie Mellon with production expertise at Amazon, delivering RL- and SFT-tuned LLMs and efficient deployments via LoRA, quantization, and distillation that serve large-scale retrieval, ranking, and ad relevance systems. His work spans multi-task and multi-objective optimization, synthetic-data strategies for noisy labels, and novel agentic embeddings that improve query understanding and throughput by an order of magnitude. Notably, he co-authored NeurIPS and AAAI papers on time-series-plus-text LLMs and label-error detection, reflecting an uncommon bridge between academic benchmarks and high-throughput industrial systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at PES UniversityMaster of Science - MS Machine Learning, Master of Science - MS Machine Learning at Carnegie Mellon UniversityCBSE, CBSE at National Public School
Github Skills (37)
userspace7
kernel6
filesystem6
mount6
fuse6
vfs5
keybase4
libfuse4
backend3
linux3
css2
ecommerce2
docker2
bootstrap2
javascript2
Programming languages (6)
Github contributions (5)
arvindsrinivasan/blood-donation-webapp
Nov 2017 - Nov 2017
Contributions:29 commits, 28 pushes, 1 branch in 1 day
Aveek-Saha/FUSE-Filesystem
Feb 2021 - Feb 2021
A basic file system in user space written in C using FUSE
Contributions:5 commits, 4 PRs, 2 pushes in 1 day
fusevfsmountlinuxkeybase
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