Strong research + engineering mix
Comfortable reading papers, implementing ideas, and running clean experiments in Python (PyTorch, TensorFlow, scikit‑learn).
Research intern & M.Sc. student building practical AI systems.
About
I work at the intersection of machine learning, NLP, and computer vision, with a strong mathematical background and hands‑on experience taking ideas from paper to working code.
Experience
Education
Focusing on Advanced methods in AI, efficient methods in NLP, Advanced applied mathematics, and Computer vision.
Built a strong foundation in mathematical concepts, statistical analysis, and problem-solving techniques for AI/ML.
Tech Stack
Why I’m a good fit
Comfortable reading papers, implementing ideas, and running clean experiments in Python (PyTorch, TensorFlow, scikit‑learn).
Have built projects from scratch – data pipelines, models, evaluation, and frontends that people can actually use.
Used to explaining technical work to non‑ML stakeholders through concise docs, visuals, and demos.
A chronological showcase of projects I've built, from foundational learning to cutting-edge research.
I’m happy to chat about internships, research collaborations, or full‑time ML roles. Best way to reach me is via email or LinkedIn.