Distribution Visualizer ↗
Interactive PDF/CDF explorer for common probability distributions.
Machine Learning Engineer
I turn ML research into systems that work at scale. Eight years in industry — and a Master's in Machine Learning currently in progress — taught me that the hardest part isn't the model. It's everything around it.
My background is a bit unusual: Computer Science meets Psychology and Neuroscience. It shapes how I think about building systems that work for people, not just on benchmarks.
Fortune 500 Manufacturing Company — 6+ years
Interactive PDF/CDF explorer for common probability distributions.
ML-powered wearable integrating forecasting software.
Voice-driven app with custom NLP engine.
85+ pipelines, 2x precision improvement, reduced failure probability to 13% via SANN optimization.
Kaggle-style regression. 30% improvement over baseline via feature engineering and 15+ tuned models.
Time-series with exogenous variables. 15% improvement via cross-validation and ARIMA tuning.
A-Priori association rule mining built from scratch — no ML libraries.
The Hidden Cost of AI Assistance: Outsourcing Critical Thinking.
Open to ML engineering and data science roles. If you're building something interesting, let's talk.
Prefer email?