Parth Suresh
Software Engineer (Machine Learning) at Meta
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolParth Suresh is a Machine Learning-focused Software Engineer with nine years of experience building production ML systems and research-driven models across Meta, Scale AI, and academic labs. He currently works on Wearables data at Meta, blending large-model techniques with real-world telemetry to improve user-facing and developer-facing outcomes. Previously he built models-as-a-service at Scale AI using finetuning, RLHF, and RAG, and contributed to published research that measurably increased developer velocity during an earlier Meta research role. His background spans computer vision for neuro-imaging, speech signal processing, and ML-driven systems engineering—from GPU power projection at Intel to crash-risk estimation for mobile releases. Parth combines rigorous academic training from USC and IISc with hands-on product impact, frequently moving ideas from papers and prototypes into scalable deployments. He’s as comfortable tuning model training pipelines as he is translating research insights into measurable metrics for large engineering orgs.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern CaliforniaBachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at TKM College of Engineering , Kollam
Hindi, Malayalam, English
Stackoverflow
77reputation
12kreached
4answers
2questions
Github Skills (71)
dialog10
multimodal9
statistics9
recycle-bin9
python9
regression9
facebook9
machine-learning9
computer-vision8
cli8
modular8
deep-learning8
pytorch8
data-analysis8
capsnet8
Programming languages (7)
Github contributions (5)
parthsuresh/parthsuresh
Aug 2020 - Mar 2025
Contributions:11 pushes, 1 branch in 4 years 8 months
jhasuman/Lane-detection-Width-Calculation-Indian-roads
Aug 2018 - Aug 2018
Contributions:8 commits, 7 pushes, 1 branch in 1 day
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