Lê Thế Vinh

I’m a Computer Science student at UIT with a strong mathematics foundation, including a 3rd Prize in the National 30/4 Mathematics Olympiad. I enjoy turning math and data into practical AI/ML systems—building pipelines, RESTful APIs, and data-mining solutions in Python.

In my current role as an AI Engineer at Cellusys, I build Python-based AI pipelines and RESTful APIs for real-time data processing in telecom-grade products. Previously, as a Data Engineer & Systems Developer at a startup, I delivered automated data-mining pipelines and designed APIs to centralize cross-department data flows—always focused on performance, reliability, and scalable API design.

I also explore advanced retrieval and recommendation systems through projects like UniBuddy (SQL + Qdrant vector search exposed via a RESTful API) and the UIT Assistant Exam App (RAG with a low-latency, high-concurrency FastAPI backend). I’m eager to extend my work toward Quantum Computing and Quantum Machine Learning, with a research focus on finance and fraud/anomaly detection, hybrid classical–quantum models, and quantum optimization.