Avthar Sewrathan
Staff Product Manager, AI at MongoDB
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAvthar Sewrathan is a Staff Product Manager specializing in AI with nine years of experience building developer-focused products and go-to-market strategies. He has led zero-to-one efforts and scaled AI offerings—most recently at Timescale where he grew an open-source and cloud AI portfolio including a high-performance vector database, embedding pipeline, and Text-to-SQL capabilities—before joining MongoDB to lead AI product initiatives. A Princeton-trained computer scientist and former founder, Avthar blends technical depth with entrepreneurial grit, having built a decentralized social network and an education-focused social enterprise earlier in his career. He moves comfortably between developer advocacy, product marketing, and product leadership, translating complex infrastructure into usable developer experiences. Based in New York, he brings a maker’s mindset to product strategy and an unusual track record of shipping both community-driven open-source products and commercialized cloud offerings.
10 years of coding experience
8 years of employment as a software developer
Entrepreneurial Leadership, Entrepreneurial Leadership at African Leadership AcademyInternational Baccalaureate, International Baccalaureate at UWC Costa RicaBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Princeton University
Afrikaans, Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
postgresql10
chatgpt10
python10
langchain10
open-source10
typescript10
llm10
openai10
postgresql-extension10
generative-ai10
ai10
gemini10
pydantic10
anthropic10
semantic-search9
Programming languages (7)
Github contributions (5)
avthars/BlockChat
Jan 2018 - Mar 2018
Contributions:35 commits, 2 pushes in 1 month
timescale/vector-cookbook
Jul 2023 - Feb 2024
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
Contributions:2 PRs, 8 pushes in 7 months
postgresqlllmpythonvector-databaseapproximate-nearest-neighbor-search
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