Machine Learning | Data Science | GenAI | MLOps

Machine learning engineer with 3+ years of experience bridging data science research and engineering implementation. Electrical and Computer Engineering graduate with expertise spanning the full ML stack—from model development to production deployment. Currently leveraging GenAI at Booking.com to extract customer insights and automate analyses, reducing weeks of manual work to hours. Previously developed AI solutions for life sciences at Loka and built climate monitoring systems at TransitionZero using satellite imagery and deep learning.

My approach combines scientific rigor with practical implementation, having trained models in PyTorch and TensorFlow, as well as deployed production ML pipelines using AWS, GCP, and Airflow, while maintaining strong MLOps practices. I’ve designed systems that cut analytical time by 90%, improved model accuracy by 15%, and saved 20+ hours of manual work monthly. Open source contributor to GenAI projects including Llama Index and Tokencost.

Passionate about applying AI for positive impact, with experience in climate change monitoring, healthcare predictive models, and democratizing political information. My side projects reflect this mission—from PeakAI for personalized fitness coaching to deforestation detection systems using satellite imagery.

I thrive in dynamic environments where I can move quickly with project ownership, whether in startups or innovative larger organizations. Looking for opportunities to leverage cutting-edge machine learning techniques in a curious but pragmatic way, bringing about impact.