Lucas Jaggernauth
Applied AI at Ramp
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolLucas Jaggernauth is an applied AI engineer and founder with seven years of hands-on experience building production ML systems, currently working on agent-driven features at Ramp. He co-founded Speck (YC W24) where he led AI frontend engineering after early-stage founding roles at Sweep (YC S23) and rapid prototyping stints at Roblox and Capital One focused on search, multilingual autocomplete, and document extraction. His background blends academic research in computer vision and triplet-loss face perception with practical product delivery—he even built multiplayer VR games and a homegrown jetpack early in his career. Based in New York, Lucas combines startup grit with research rigor, shipping user-facing AI experiences that bridge model research and scalable front-end integration.
7 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science & Cognitive Science, Bachelor's degree Computer Science & Cognitive Science at The University of Texas at DallasW24, W24 at Y CombinatorHigh School Diploma Valedictorian, High School Diploma Valedictorian at Haas Hall Academy
Github Skills (25)
jetbrains10
code-search10
github-app10
access-token10
refresh-token10
ai10
developer-tools10
oauth9
api8
debugging8
api-client8
prompt-engineering6
integrations6
openai5
llm5
Programming languages (9)
Github contributions (5)
speckai/speck-llm-observability
Dec 2023 - Mar 2024
Livetrace debugging and metrics tracking for LLM apps
Contributions:35 releases, 12 PRs, 191 pushes in 2 months
debuggingllmopenaiprompt-engineering
lukejagg/2048
Aug 2020 - Sep 2023
A customizable 2048 clone I created a few years ago using JavaFX
Contributions:6 PRs, 2 pushes, 5 branches in 3 years 1 month
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