Jayanth Chennamangalam is a Senior Applied Researcher and full-stack data scientist with 15 years of experience applying machine learning, signal processing, and software engineering to real-world products. He currently develops deep learning models for wearable health devices at Huami and has a track record of deploying optimized models (e.g., TensorRT/C++) into embedded and edge systems. His background spans academic astrophysics—where he built real-time, multi-gigabit data pipelines and detectors for major radio telescopes—to industrial R&D in drone detection and RF signal classification. He has led and grown ML teams, defined project scope, and balanced hands-on modelling with product-focused engineering. Comfortable across the stack, he combines GPU-accelerated signal processing, statistical inference, and robust production deployment to turn noisy sensor data into actionable insights. Based in Vancouver, he brings a rare mix of astrophysics-scale data expertise and practical embedded ML experience.
15 years of coding experience
13 years of employment as a software developer
Bachelor of Technology (BTech), Electronics and Communication Engineering, Bachelor of Technology (BTech), Electronics and Communication Engineering at Mahatma Gandhi University
Master of Science (MS), Physics, Master of Science (MS), Physics at West Virginia University
Contributions:13 commits, 1 PR, 4 pushes in 6 years 6 months
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Jayanth Chennamangalam - Senior Applied Researcher at Huami