Co-Founder & CTO LiteLLM (YC W23) | 53K+ Github stars | Hiring
LiteLLM (YC W23)

Build the foundational infrastructure for AI model orchestration and observability at a high-growth YC-backed startup.
20–30 INR / yearly
CTC
3–6 years
Exp
Hybrid
Work mode

San Francisco Bay Area

San Francisco Bay Area

San Francisco Bay Area

Pittsburgh, Pennsylvania, United States

Pittsburgh, Pennsylvania, United States

Pittsburgh, Pennsylvania

Mumbai, Maharashtra, India

San Diego, California

Bachelor of Science - BS, Electrical and Computer Engineering, Minor in Machine Learning
Carnegie Mellon University

International Baccalaureate, Computer Science, Business, Physics
The Cathedral and John Connon School
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I am a Co-Founder and CTO with a deep background in scaling high-performance AI infrastructure. Previously a Software Engineer at Coinbase, I now lead development at LiteLLM, an open-source AI gateway with over 53,000 GitHub stars. My technical expertise spans distributed systems, machine learning, and hardware-level optimization, backed by a degree from Carnegie Mellon. I am passionate about building efficient, developer-centric AI tooling that solves real-world production challenges.
United States
Co-Founder & CTO at LiteLLM (YC W23), Jan 2023 - Present · 3 yrs 8 mos, San Francisco Bay Area, Open-source AI Gateway with 54K+ stars on GitHub and trusted by companies like Rocket Money, Samsara, Lemonade, and Adobe. We have raised a $1.6M seed round from Y Combinator, Gravity Fund and Pioneer Fund.
Software Engineer II at Coinbase, Aug 2022 - Jan 2023 · 6 mos, San Francisco Bay Area
Software Engineer at Coinbase, Aug 2021 - Jul 2022 · 1 yr, San Francisco Bay Area, • Designed, built and tested systems to interact with new Blockchains adding New Assets Under Custody • Led and implemented asset addition scaling solutions to increase bandwidth by 400% and decrease latency by 85%
Software Engineer at Carnegie Mellon University School of Computer Science, Dec 2020 - May 2021 · 6 mos, Pittsburgh, Pennsylvania, United States, Software Engineer at the TEEL Lab (teel.cs.cmu.edu) developing a course on Artificial Intelligence using big data and ML/cognitive services from the major cloud service providers.
Research Assistant at Carnegie Mellon University School of Computer Science, Aug 2020 - Dec 2020 · 5 mos, Pittsburgh, Pennsylvania, United States, Working with Prof. Nakahira on provably safe frameworks for learning-based control in autonomous vehicles
Teaching Assistant at Carnegie Mellon University School of Computer Science, Jan 2020 - Dec 2020 · 1 yr, Pittsburgh, Pennsylvania, TA for 15-112: Fundamentals of Programming and Computer Science and 15-440 Distributed Systems • Support ~500 students in managing course load and learning to program in Python • Work with professors and staff of 50 TA’s to develop course and maximize student success and engagement • Led weekly recitations for 30 students to facilitate problem-solving skills based on class material
Founder at Lunegy.edu, Apr 2020 - Nov 2020 · 8 mos, Mumbai, Maharashtra, India, - Started a company where I spent 250+ hours building and debugging projects with developers - Built 30 projects, including a stock trading bot, AI Chess Engine, OpenCV Exercise analyser
Software Engineering Intern at Qualcomm, Jun 2020 - Aug 2020 · 3 mos, San Diego, California, • Conceptualized and developed an Extract, Transform, Load (ETL) system to pipeline large datasets to testing teams, improving load times from 30 seconds to 2 seconds (15x Speedup) • Led the design, development and launch of dashboards, automated data pulls and analyses to drive key testing decisions for 5G chipset teams
Bachelor of Science - BS, Electrical and Computer Engineering, Minor in Machine Learning, Carnegie Mellon University
International Baccalaureate, Computer Science, Business, Physics, The Cathedral and John Connon School