Arulselvan Madhavan
Machine Learning Engineer at Lightmatter
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolArulselvan Madhavan is a Machine Learning Engineer based in San Francisco with 11 years of software engineering experience and an MS in Computer Science from Northeastern University. He blends deep learning practice at Lightmatter with a strong engineering foundation from roles at Chartboost and Intuit, building high-performance backends and production systems. His interests span functional programming, type theory, category theory, distributed computing and ML, and he applies these theoretical lenses to practical API and systems design. Early career wins at TCS and Intuit show a knack for automation and tooling that reduced manual effort dramatically, while academic work included building research-grade web tools for crowdsourced clustering and mHealth projects. Comfortable across languages and stacks, he brings both research curiosity and production discipline to ML systems engineering. A less obvious strength is his consistent habit of translating abstract theory into pragmatic software patterns that improve reliability and performance.
11 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.), Computer Science, 3.8, Master of Science (M.S.), Computer Science, 3.8 at Northeastern UniversityB.E, Electronics and Communication Engineering, B.E, Electronics and Communication Engineering at Valliammai Engineering college
Github Skills (143)
category-theory10
maven10
cpp10
haskell10
latex10
sbt10
ocaml10
scala10
gitlab10
gradle10
pdf10
azure-repos10
robot10
functional-programming10
text-to-image9
Programming languages (18)
Github contributions (5)
ArulselvanMadhavan/ocaml-ctfp
Apr 2019 - Jan 2020
OCaml version of Category Theory For Programmers
Contributions:163 commits, 28 PRs, 141 pushes in 10 months
category-theoryocaml
ArulselvanMadhavan/Artist_Recognition_from_Audio_Features
Dec 2015 - Aug 2021
Contributions:2 pushes in 5 years 9 months
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