Physicist turned Data Scientist | Building intuitive AI solutions
About Me
I hold a Bachelors in Mathematics & Physics, where I developed a love for modeling complex systems, Now I apply that rigor to machine learning and data-driven problem-solving. Passionate about interpretable AI, algorithmic fairness, and infrastructure that scales responsibly.
Current Focus
- π Building: Basic, custom ML algorithms
- π Exploring: The world of interactivity with C++
- π Securing: ML pipelines
Tech Toolkit
Python SQL TensorFlow/PyTorch Azure/GCP Docker Spark | Specialty: Visualisation
Let's Collaborate On
- Research-backed AI projects needing mathematical grounding
- Custom, open-source ML algorithms
- Your cool physics/ML crossover idea (seriously, talk to me about Hamiltonian Monte Carlo)
Connect
π LinkedIn
Fun Things
- π Built a brick-game using Processing
- βοΈ Recovered chess addict
- π± Life motto: "If you're not failing, your models aren't ambitious enough"
