Sri Malireddi
Founder at Moss (YC F25)
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSri Malireddi is a founder and machine learning engineer with 11 years of experience building low-latency, on-device AI systems and production ML services. Currently leading Moss (YC F25), he focuses on sub-10ms retrieval for real-time AI that runs on-device, drawing on past work optimizing on-device personalization and LLM inference at Grammarly. At Microsoft he drove cross-geo technical leadership for Viva Skills, delivering a 900% algorithm speedup and cutting batch inference latency from 62s to under 0.1s, and shipped on-device vision and NLU features across productivity products. He pairs deep systems and ML engineering expertise—model optimization, SLAM/VIO, SDKs and backend APIs—with hands-on mentoring and operational excellence. Based in San Francisco, he combines startup grit with enterprise-scale delivery and a knack for squeezing extreme performance from constrained devices.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of VictoriaBachelor’s Degree Electrical Engineering, Bachelor’s Degree Electrical Engineering at IIT Gandhinagar
English, Telugu
Stackoverflow
156reputation
16kreached
7answers
0questions
Github Skills (101)
python10
number-recognition10
deep-learning10
mnist10
drawing10
sdk10
computer-vision10
transformer10
nlp10
tensorflow10
filter10
natural-language-processing10
dlib10
face-detection10
pytorch10
Programming languages (8)
Github contributions (5)
r4ghu/IntroToPyTorch
Mar 2019 - Nov 2019
Contributions:22 commits, 20 pushes, 1 branch in 8 months
ataiya/igd
Jan 2017 - Mar 2017
Contributions:13 commits, 16 pushes, 3 comments in 2 months
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