Founding-minded software engineer building AI products, developer tooling, and open-source software from zero to production. I enjoy owning products end-to-end, solving
hard engineering problems, and working closely with users to build intuitive experiences that solve real problems. I use modern AI tooling to accelerate development while
relying on strong engineering fundamentals to build reliable, maintainable systems.
Led development of the AI platform powering enterprise neuroscience studies, integrating proprietary brain-signal models with frontier LLMs to generate structured
insights.
Built a centralized operations platform managing participant bookings, laboratory workflows, questionnaires, and study execution, with agents eliminating around 80%
of redundant manual tasks so operators can stay focused on the subjects.
Designed a highly configurable participant screening platform with behavioral analytics, letting agents speed up study setup while giving customers real-time
visibility into participant journeys.
Built internal evaluation tooling, reducing feature validation cycles from hours to minutes and enabling significantly faster experimentation and real-world model
evaluation.
Architected and deployed production AI infrastructure on Azure Marketplace, using MCP, agents, and LLM tooling to orchestrate proprietary ML models and frontier LLMs
for the flagship insights product.
Represented the company at VivaTech 2025 and 2026, showcasing the product to thousands of attendees and partnering with Microsoft.
Joined as the first engineering hire, architecting the full-stack platform powering an AI coding assistant serving 10k+ active users and 5k+ paying customers.
Developed core features for the VS Code extension, helping grow the open-source project to 5.3k+ GitHub stars while shipping product updates on a daily release
cadence.
Built LLM infrastructure and agent workflows integrating frontier models, enabling rapid experimentation driven by continuous customer feedback and community
engagement.
Designed product engagement systems that improved user retention and contributed to Kodu becoming one of the top 5 applications on OpenRouter.
Skills: TypeScript, React, LLM Infrastructure, AI Agents, Product Engineering, VS Code Extension
Developed features for Datadog Dashboards using React, TypeScript, and the company's internal design system.
Implemented a redesign of the dashboard sharing experience, aligning interactions with familiar collaboration patterns used by tools such as Google Drive,
significantly increasing feature adoption.
Participated in design discussions, code reviews, and large-scale frontend migrations across a production codebase.
Founded and architected an open-source self-hosted dashboard with 10k+ GitHub stars, 50M+ Docker pulls, and 74 contributors.
Built and grew an international open-source community of 6k+ Discord members, coordinating contributions from 234 translators across 29 languages.
Led product direction, architecture, release management, and developer experience, building AI-assisted contributor tooling to accelerate community development.
Designed and implemented an MCP server enabling AI agents to manage Homarr instances through natural language.
Built an in-app AI assistant with the Vercel AI SDK and Assistant UI, streaming conversational updates over SSE.
Skills: TypeScript, React, Open Source, Product Architecture, Developer Experience, MCP, Vercel AI SDK, Assistant UI, SSE
Epitech is an IT school focused on learning programming with a hands-on project-based learning approach. It is well known for its hard "piscine" intensive training
period.
Shibaura Institute of Technology
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Student exchange year realized in Tokyo, Japan. SIT is the only private university of science and technology selected for the Japanese government's exclusive Top Global
University Project.