* Developed a job/candidate ranking AI, leading to 30% lower infrastructure costs than the previous iteration, using Pinecone vector databases, Python, Cohere embeddings and PDF/DOCX automated reading
* Initiated the automation of the CI/CD workflow (auto-build, check & deploy) with AWS tools and GitHub Actions
* Took the initiative to add automatic Python unit tests, improving test coverage from 0% to 84% on an internal API
* Optimized the résumé leaderboard cache system to reduce database fetches by 60% using Next.js and TypeScript
* Developed and deployed a web scraping API to AWS to integrate Devpost data in the application using Python

* Actively completing a 32-week research project on modern priority queues in AI algorithms using C and Python
* Selected out of 2000 students to receive a 5000$ government grant for college-level research

* Automated the rerouting of a user’s unread Instagram messages to SMS using AWS Lambda and S3
* Decreased runtime by 80% and costs by half by utilizing S3 to store session information

* Development of the backend and the REST API of a Next.js app automating the sending of personalized cold emails
* Constant monitoring of the user’s email using Google Cloud API inbox and AI analysis of the replies received
* Podium place and 3 prizes at BrebeufHx. Approached by a team of startup founders to discuss the innovative idea

* Solo development of a Nintendo (NES) emulator achieving industry-level cycle accuracy
* Features step-by-step execution, debugging tools, ROM file creation from assembly source code and correct graphics and audio pipeline
* Built using a custom pixel rendering engine in OpenGL, C and Assembly