Skanda Kaashyap is a Machine Learning Engineer with 11 years of software experience, currently building autonomous machine systems at Caterpillar after stints at Tesla, Walmart Global Tech, and Abnormal Security. He blends systems-level curiosity—databases, consensus algorithms, CRDTs, and p2p—with practical engineering, evidenced by a grow-only counter CRDT on GitHub and a lightweight Golang AI hosting runtime he runs from a home server in San Francisco. Comfortable across the stack, he’s tuned MySQL/Postgres, explored functional programming (S/OCa)ML, and shipping high-concurrency services that squeeze performance out of modest hardware. His background in physics and research infuses a data-driven, experimental approach to distributed systems and ML infrastructure.
10 years of coding experience
6 years of employment as a software developer
Physics Concentration/Minor Computer Science, Physics Concentration/Minor Computer Science at Carnegie Mellon University
Contributions:194 commits, 184 pushes, 2 branches in 1 year 10 months
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Skanda Kaashyap - Machine Learning Engineer at Caterpillar Inc.