Blog
Insights and perspectives on AI solutions for energy transition, ML engineering, and international collaboration.
Grid Stability Through Machine Learning
Architecture and implementation of ML systems for intelligent power grid stabilization and optimization.
Production ML Engineering: From Prototype to Scale
Strategies for successfully transitioning ML prototypes into production-grade systems with real-world impact.
Career Transition: From Process Automation to Data Science Leadership
Personal insights and lessons learned from transitioning between technical domains and international markets.
LSTM Implementation for Time-Series Forecasting: Lessons Learned
Deep dive into LSTM architecture decisions, hyperparameter tuning, and production deployment challenges.
From Research to Production: AI-Assisted Pipeline Architecture
How AI collaboration guided systematic refactoring from research notebooks to team-ready, production systems.
Senior-Level AI Code Review: Strategic Partnership
Systematic framework for reviewing AI-generated code: requirements alignment, over-engineering detection, production readiness.
Clinical ML: Why Interpretability Often Beats Accuracy
Choosing interpretable models for clinical adoption, regulatory readiness, and measurable healthcare impact.
Production ML: When Performance Requirements Beat Accuracy
Modular pipelines, latency budgets, and reliability-first design for grid-scale ML systems.