Siddharth K is a software engineer with nine years of experience building ML-driven systems for logistics, aviation, and cloud customers, currently developing intelligent logistics infrastructure at Baton to optimize fleet operations. He holds a BS/MS from UC Berkeley and has applied operations research and ML in production roles at AWS and startups, including building an AI co-pilot for pilots at Beacon AI. Comfortable across ML infra, data engineering, and applied research, he has a track record of turning academic algorithms into scalable services for enterprise customers. Based in San Francisco, he blends deep technical training with hands-on experience in regulated industries, and often focuses on practical robustness and safety when deploying ML in mission-critical environments. An early background in fintech and financial services engineering gives him extra rigor in building auditable, production-grade systems.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Industrial Engineering and Operations Research, Master of Science - MS Industrial Engineering and Operations Research at University of California, Berkeley
Distinguished Achievement Program Diploma IB Diploma, Distinguished Achievement Program Diploma IB Diploma at Coppell High School
:notes: Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch
Contributions:41 commits, 2 PRs, 38 pushes in 1 day
pythonmusixmatchflaskbillboardsongs
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