AI & Data Science engineer focused on predictive analytics, time-series forecasting, and scalable machine learning systems. I build end-to-end AI solutions with real-world impact.
Aspiring AI & Machine Learning Engineer with hands-on experience in building real-world AI systems. I specialize in predictive modeling, anomaly detection, and full-stack AI integration. My work focuses on environmental intelligence and industrial-scale data systems.
Environmental intelligence, industrial CO₂ monitoring, air quality prediction, and building AI systems that make a tangible impact on sustainability.
I treat machine learning as an engineering system: define the business signal, build a clean data path, validate model behavior, expose it through reliable APIs, and design dashboards that make decisions easier.
A lightweight, on-page risk estimator that mirrors how I think about environmental intelligence: combine live signals, normalize the inputs, and turn model output into a clear operational status.
Open to AI/ML internships, research opportunities, and real-world problem solving. Let’s build something impactful.