Vedant Sahai
AI Engineer at Distyl AI
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolVedant Sahai is an AI Engineer with a Master's in Computer Science from Penn State and seven years of experience building production ML systems and backend services. He has driven measurable impact across startups and enterprise — from improving transaction detection and deploying TabNet challengers at JPMorgan Chase to cutting workflow runtimes and boosting user engagement at Julep AI. Vedant ships full-featured solutions end-to-end (FastAPI, Docker, TimescaleDB, AWS) and contributes to open-source AI tooling, including adding temporal codec routes and robust YAML fixes to the julep agent framework. Based in New York, he combines hands-on engineering with teaching experience at large university cohorts, and often focuses on practical model reliability and developer experience improvements that are easy to overlook but accelerate adoption.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Penn State UniversityBachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Fr. Conceicao Rodrigues College of Engineering
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
fastapi10
docker10
pydantic10
back-end-development10
python10
dockers10
temporal10
yaml10
Programming languages (6)
Github contributions (5)
julep-ai/julep
Sep 2024 - Apr 2025
Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:76 reviews, 178 PRs, 510 pushes in 6 months
Contributions summary:Vedant implemented a temporal codec server route and associated cookbooks, adding a new route for decoding temporal payloads using PydanticEncodingPayloadConverter. They also updated the CONTRIBUTING.md file with new setup instructions and modified Docker and FastAPI configurations. Furthermore, the user addressed a critical decoding error by replacing ruamel.yaml with PyYAML and updating cookbooks to utilize formatted strings for YAML loading.
ai-agentagentsai-agentsai-agents-frameworkai-memory
Vedantsahai18/MU-BE-CS-Sem-Practicals
Apr 2021 - Jun 2021
Contributions:10 commits, 8 pushes, 1 branch in 1 month
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