Nitin Rathi
Senior Applied Research Scientist at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNitin Rathi is a Senior Applied Research Scientist at Meta with nine years of experience translating academic innovations in spiking neural networks and energy-efficient architectures into production-grade search and AI systems. He has led improvements to Meta’s internal search stack—indexing, retrieval, and ranking—and is now building an LLM-driven troubleshooting chatbot to accelerate technical issue resolution across the company. His background includes a Purdue PhD where he advanced SNN training, pruning, and hardware acceleration (notably ANN-to-SNN conversion for ImageNet with low time-steps), giving him a rare blend of algorithmic rigor and systems-level engineering. Proficient in Python, PHP, Hive, Scribe, Presto, and ElasticSearch, he excels at constructing scalable data pipelines and informed ML deployments. Based in Seattle, he pairs deep research experience with practical impact inside a large enterprise, often optimizing for energy and latency as well as accuracy.
9 years of coding experience
10 years of employment as a software developer
B.TECH, Electronics & Communication Engineering, B.TECH, Electronics & Communication Engineering at West Bengal University of Technology, KolkataDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Purdue University
English, Hindi
Github Skills (15)
spiking-neural-networks10
backpropagation9
deep-learning8
pytorch8
computer-vision6
machine-learning6
stock-quotes4
fundamentals4
mutual-funds4
bonds4
financial-data3
yahoo-finance3
forex3
cryptocurrencies2
stock-data2
Programming languages (1)
Github contributions (5)
nitin-rathi/DIET-SNN
May 2020 - Sep 2021
Optimizing threshold and leak in LIF neurons with end-to-end backpropagation
Contributions:22 commits, 11 pushes in 1 year 4 months
backpropagation
nitin-rathi/hybrid-snn-conversion
Feb 2020 - Apr 2021
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
Contributions:23 commits, 16 pushes, 1 branch in 1 year 1 month
backpropagationpytorchsnnann-snn-conversiondeep-learning
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