Ashwin Purohit

Head Of Applied AI at LILT AI

Berlin, Germany
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Summary

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Senior
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Top School
Ashwin Purohit is a Head of Applied AI based in Berlin with 14 years of experience building and scaling AI and engineering organizations in venture-backed, high-growth environments. He combines hands-on engineering (distributed systems in Go, production ML stacks) with P&L and GTM ownership, having scoped and delivered multi-million dollar enterprise and public-sector AI contracts. At Lilt he architected a novel AI business line spanning model benchmarks, fine-tuning, RLHF and multimodal ML deployment across NVIDIA Triton, AWS Inferentia and Google TPUs, while materially improving onboarding and contribution margins. A former founding engineer at Recursion and early software lead at 23andMe, he brings rare product-to-infrastructure fluency and proven success forming regional R&D teams. He’s also an active open-source contributor — notable work on the Revel Go web framework improving HTTP routing and testability — underscoring a pragmatic engineering pedigree.
code14 years of coding experience
job13 years of employment as a software developer
bookExecutive MBA, Executive MBA at ESMT Berlin
bookGlobal Network Week for EMBA Students Innovative China: Towards Sustainable Growth, Global Network Week for EMBA Students Innovative China: Towards Sustainable Growth at Fudan University
bookBS Electrical Engineering, BS Electrical Engineering at Stanford University
languagesEnglish, German, Chinese
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Github Skills (20)

testing10
go10
mysql9
http9
web-framework9
revel8
webapp-framework8
application-framework8
web-application7
webapp7
rows6
scalability6
rsync6
max6
innodb6

Programming languages (9)

TypeScriptShellRustJavaScriptGoHTMLVim ScriptRich Text Format

Github contributions (5)

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revel/revel

Apr 2013 - Jul 2013

A high productivity, full-stack web framework for the Go language.
Role in this project:
userBack-end Developer
Contributions:5 commits in 2 months
Contributions summary:Ashwin contributed to the Revel web framework by implementing new features, improving existing code, and addressing code style issues. Their work included adding support for HTTP PATCH methods in the router, along with associated tests. The user also incorporated gofmt formatting and resolved a comment typo. Furthermore, they added command-line arguments for test suite and method selection, enhancing the framework's testability.
golangproductivityfull-stackweb-applicationframework
23andMe/api-example-go

Oct 2012 - Jul 2013

Contributions:41 commits in 9 months
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Ashwin Purohit - Head Of Applied AI at LILT AI