Tobi Ogunnaike
Forward Deployed Engineer at SynBioBeta
United States
Summary
🤩
Rockstar🎓
Top SchoolTobi Ogunnaike is a Forward Deployed Engineer with nine years of experience building production LLM systems, full‑stack products, and developer productivity tools across startups and large teams like Pinterest. He combines hands‑on backend work (notably contributing API and deployment integrations to Pinterest’s Teletraan system) with product‑facing demo and benchmarking work—recently partnering with UC Berkeley Data Lab to design an enterprise AI benchmark and prototyping multi‑agent tooling at PromptQL. Comfortable switching between deep engineering and technical consulting, he has shipped CI/CD, identity, and deployment solutions at scale and turned prototypes into customer‑ready demos. Outside tech he’s a self‑published author and community organizer who stages sensory literature events in SF, reflecting a knack for storytelling that he leverages in technical marketing and developer documentation.
9 years of coding experience
8 years of employment as a software developer
High School, High School at Atlantic Hall, Lagos, NigeriaFirst Step CodingBachelor of Engineering (B.Eng.), Chemical Engineering, Bachelor of Engineering (B.Eng.), Chemical Engineering at Loughborough UniversitySummer class, Engineering Design, Summer class, Engineering Design at Montgomery CollegeBritish A-levels, Mathematics, British A-levels, Mathematics at Abbey collegeEthics, Technology + Public Policy for Practitioners, Ethics, Technology + Public Policy for Practitioners at Stanford University
French
Stackoverflow
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Github Skills (10)
javas10
api-rest10
rest-api10
api10
postgresql10
apidoc10
api-design10
java10
restful-api10
database-design9
Programming languages (4)
Github contributions (5)
pinterest/teletraan
Jun 2018 - Jan 2019
Teletraan is Pinterest's deploy system.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 18 PRs, 6 pushes in 8 months
Contributions summary:Tobi primarily focused on enhancing the Teletraan deploy system by implementing and refining API endpoints. They added a new API for setting external IDs on stages, integrating with a Nimbus service for identifier management. Furthermore, the user addressed issues related to input validation and logging, along with code changes related to adding Nimbus integration for creating new stages, and refactored the code for readability. These contributions involved modifications to the backend logic, database interactions, and integration with external services.
dockerpinterest
tobicodes/Podcast-app
May 2017 - Aug 2017
'Netflix for podcasts' - recommendation platform from library of 250,000+ podcasts built using Python and Flask.
Contributions:22 commits, 3 PRs, 15 pushes in 2 months
pythonnetflixpodcastflaskrecommendation
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