Quest Henkart is a founder and software architect with 11 years of experience building scalable, product-focused platforms and AI infrastructures from prototype to production. He led Glidr.ai’s pivot to an AI-first platform, single-handedly designing queuing, retry, and monitoring systems that turned unstable early APIs into reliable, high-throughput generation services. Equally comfortable in product strategy and hands-on engineering, he blends backend microservices, GraphQL/REST APIs, and frontend React work with Lean product practices to create customer-centric solutions. An active open-source contributor, he’s improved prominent Go projects like gqlgen and a Go OpenAI client to enhance GraphQL ergonomics and robust error handling for AI integrations. He founded NutriShot AI to solve a personal real-world problem—turning food photos into macros—and now supports hundreds of users worldwide. Remote-first and dual-citizen of the US and Europe, he focuses on impactful, mission-driven engagements.
11 years of coding experience
2 years of employment as a software developer
Computer Science, Computer Science at Hack Reactor
Bachelor's Degree, Philosophy, Bachelor's Degree, Philosophy at UC Santa Barbara
Contributions:9 commits, 5 PRs, 16 comments in 2 years 11 months
Contributions summary:Quest primarily contributed to the `gqlgen` project by adding and modifying GraphQL-related types and configurations. They implemented an interface scalar type and updated the built-in types. Additionally, the user worked on the project's playground feature by fixing the shareable link button and updating the playground version and enabling tabs.
OpenAI ChatGPT, GPT-3, GPT-4, DALL·E, Whisper API wrapper for Go
Role in this project:
Back-end Developer
Contributions:3 reviews, 5 PRs, 13 comments in 1 year 5 months
Contributions summary:Quest primarily contributed to the core functionality of the `go-openai` library. Their work included significant improvements to error handling by maintaining underlying error structs and enabling type conversions, ensuring better integration with Azure responses. They also focused on implementing and fixing the AssistantModify implementation, including custom marshallers and addressing linter issues. Furthermore, the user introduced new features by adding recently added Assistant cost saving parameters and addressing updates to message payloads.
openai-apichatgpt4openai-whispergpt-3gpt-4
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Quest Henkart - Founder at GLIDR by LaunchPad Central