A selection of work showcasing my expertise in machine learning, MLOps, GenAI, and Data Science. Each project demonstrates different aspects of my experience, from building scalable ML infrastructure to implementing cutting-edge AI techniques.
Designed and implemented a comprehensive MLOps pipeline that reduced model deployment time from 0.5 days to just 2 hours. Built on Google Cloud Platform using Vertex AI, MLflow, and custom orchestration tools.
Led development of predictive models for vehicle maintenance optimization across a fleet of 100,000+ vehicles. Implemented ensemble models combining time-series analysis with deep learning approaches.
Developed an end-to-end document processing pipeline using computer vision and NLP for automated data extraction from complex financial documents.
These are just my highlighted work. Check out my full GitHub profile for more open source contributions, experiments, and collaborations.