Devansh Agarwal
Machine Learning Engineer at Uber
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolDevansh Agarwal is a Machine Learning Engineer with nine years of experience building production ML systems and founding a startup focused on acoustic sensing for human pose and activity recognition. He has shipped high-throughput multimodal and agentic AI features at AWS and now works on ML at Uber, combining research-grade model development with production engineering at scale. As co-founder of EchoTrack he designed an end-to-end ML platform and achieved 90%+ task accuracy while securing NSF and Cornell funding, showing both technical depth and fundraising acumen. His background spans full-stack software engineering at Amazon—where he improved latency and customer experience—and teaching roles at IIT Hyderabad and Cornell, reflecting strong mentorship and communication skills. Based in San Jose, he is actively exploring wearable-device applications of his research through NSF I-Corps and seeks collaborations in smart glasses and headphone ecosystems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech Computer Science Engineering and Engineering Science, Bachelor of Technology - BTech Computer Science Engineering and Engineering Science at Indian Institute of Technology HyderabadMaster's degree Computer Science, Master's degree Computer Science at Cornell University
English, Hindi
Github Skills (16)
design-patterns10
system10
scale10
web-application10
webapp10
python10
anki10
large-scale9
java8
letter8
data-structures7
javascript7
deep-learning5
graph5
machine-learning4
Programming languages (2)
Github contributions (5)
Devansh-Agarwal/VR-Simulating-Natural-Environment-
Jan 2018 - Feb 2018
Contributions:19 commits, 17 pushes, 1 branch in 1 month
Devansh-Agarwal/Practice-C-and-CPP
Jan 2018 - Dec 2018
Contributions:18 commits, 17 pushes, 1 branch in 10 months
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