Prahalathan Sundaramoorthy
Senior Machine Learning Engineer at EMPLOYERS
Austin, Texas, United States
Summary
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Senior🎓
Top SchoolPrahalathan Sundaramoorthy is a Senior Machine Learning Engineer based in Austin with eight years of experience building ML systems for industry, currently focused on LLM agents and retrieval-augmented generation for insurance at EIG. He holds an MS in Electrical Engineering (Data Science and Engineering) from USC and brings a strong research-to-production track record from roles at HP Labs and previous machine learning positions. Prahalathan combines deep learning, NLP, and big-data processing expertise to design practical models that address domain-specific risk and decisioning problems. He has a history of independent and volunteer research work dating back to early career internships in India, reflecting a sustained appetite for exploration and experimentation. Colleagues value his ability to translate research prototypes into scalable engineering solutions across cloud-native environments. Notably, he bridges academic rigor and product focus—shaping LLM agent architectures while keeping deployment constraints and regulatory considerations front of mind.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Electrical Engineering (Data Science and Engineering), Master of Science - MS Electrical Engineering (Data Science and Engineering) at University of Southern CaliforniaBachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at Velammal Engineering College
Kannada, English, Tamil, Hindi
Github Skills (7)
autoencoder3
siggraph2
collections2
mesh2
pytorch1
computer-vision1
foundation1
Programming languages (1)
Github contributions (5)
prahalath/HARNet-On-device-Deep-Learning-for-Human-Activity-Recognition
Sep 2018 - Feb 2019
Contributions:7 commits, 6 pushes, 1 branch in 4 months
prahalath/Current-Peak-based-NILM
Feb 2018 - Feb 2018
Contributions:13 commits, 12 pushes, 1 branch in 1 day
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