Nimalan Mahendran
Machine Learning Engineer at TwelveLabs
San Rafael, California, United States
Summary
👤
Senior🎓
Top SchoolNimalan Mahendran is a machine learning engineer with 11 years of experience building ML platforms and products, most notably across an eight-year tenure at Twitter where he helped architect Cortex’s deep learning infrastructure and led applied research for product teams. He’s equally comfortable as an individual contributor and engineering manager, having founded and scaled teams like Twitter’s Contacts Graph and driven cross-organizational migrations to modern ML services. At Liminal he combined signal-processing domain work with production-grade inference infrastructure and Databricks-powered data pipelines, shipping Model Engine to run ML on edge devices. He has a strong systems background from early careers in embedded and high-performance C/C++ work and an academic foundation in ML from an MSc at UBC. Nimalan also experiments with startups and product incubation—co-founding Bullfrog Labs to explore “tools for thought” before refocusing on production ML. Based in San Rafael, he blends platform design, applied research, and practical deployment experience to move ML from prototype to reliable, scalable production.
11 years of coding experience
16 years of employment as a software developer
Learning for Action Fellow, Learning for Action Fellow at Terra.doMSc Computer Science, MSc Computer Science at The University of British ColumbiaBMath Computer Science, BMath Computer Science at University of Waterloo
English, Tamil
Github Skills (65)
pocket10
streaming10
batch10
java10
obsidian10
beam9
single-file9
sql9
golang9
python9
lua9
dbg9
ide9
neovim9
streaming-data9
Programming languages (8)
Github contributions (5)
nybbles/obsidian-pocket
Jun 2021 - Sep 2022
Pocket integration for Obsidian
Contributions:21 releases, 13 reviews, 64 commits in 1 year 3 months
pocketobsidian-mdpocket-apiobsidian-pluginobsidian
nybbles/torch-ipc
Jan 2017 - Jun 2020
Contributions:14 pushes, 4 branches in 3 years 6 months
computationparalleltorchprimitivesparallel-computation
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