Leadership Philosophy
I treat platform engineering as product craft. The objective is simple: paved roads, calm operations, and measurable business movement.
Engineering
AI Platform
How I design, operate, and scale AI systems from early prototype to production-grade elegance.
Architecture Lens
- Reliability-first contracts between model teams and product-facing services.
- Observability that remains legible from dataset to inference edge.
- Governance that protects trust without flattening momentum.
- Cost-aware architecture tied directly to product outcomes.
Selected Case Studies
Optiver Realized Volatility Prediction
Kaggle quantitative modeling project focused on forecasting realized volatility from market microstructure signals.
Built a reproducible experimentation workflow for feature engineering and model iteration in a high-noise financial setting.
Automatic Reddit Web Scraping and Sentiment Analysis
Pipeline for collecting Reddit content in real time and applying NLP-based sentiment modeling for domain-specific insights.
Built an automated scrape-to-database-to-model pipeline for continuous sentiment analysis.
Live Facial Expression Detection Using Deep CNN (Keras/TensorFlow)
Real-time emotion recognition system trained on grayscale facial images and deployed to an interactive interface.
Delivered end-to-end model training, export, and live inference workflow for expression classification.