Computer Science graduate with a Distinction and hands-on experience at the intersection of cloud computing and data science.
I build systems that scale — automated pipelines, ML-driven analytics, and serverless architectures designed to handle millions of records with precision and resilience.
Strong foundations in Machine Learning, Statistical Modeling, and ETL pipelines — applied to solve real-world infrastructure challenges across multiple industries.
Verifiable math tutoring AI built with Computer Vision and LangChain, featuring a Streamlit dashboard that visualizes logical step-by-step solving processes in under 2 seconds.
Multi-object tracking model for live feeds generating predicted vehicle paths on maps via BOXMOT and YOLOv8.
Fully event-driven cloud architecture — processes and stores images automatically on upload.