I'm a machine learning researcher with a background in Bayesian inference and scientific computing, originally shaped by my research in astrophysics.
- 🧠 I design and scale ML systems that combine deep learning with probabilistic modeling.
- 🚀 My work spans from C++ simulations for exoplanet discovery to real-world ML products in real estate and finance.
- 🛠️ Core tools: Python, C++, PyTorch.
- ⚡ Special interest in energy-efficient ML and building lean, powerful models.
- 🔍 I like to tinker with foundational models, exploring efficient adaptations and domain-specific applications.
- 🌍 I’ve led teams delivering production-grade ML models that drive decisions and business impact.
📡 Currently open to collaboration opportunities in AI research engineering or scientific ML.
🛰️ Fun fact: I once co-wrote a C++ simulation to model the orbits of exoplanets — and accidentally discovered 3 new ones.
📫 Let’s connect
If you're working on something interesting in ML or science-inspired AI, I’d love to hear from you.