I’m a passionate and results-driven Machine Learning Engineer with 2+ years of experience designing and deploying scalable AI systems in computer vision, NLP, and data engineering. I've implemented end-to-end solutions, including ELT/ETL data pipelines, ANPR systems, retail video analytics, and transformer-based RAG models, using tools such as YOLOv9/11, Pytorch, Tensorflow, Fastapi, Kafka, Redis, SAP RPA and others.. Outside of engineering, I’m deeply committed to education and community-building. I’ve served twice as a Section Leader for Stanford’s Code in Place (CS106A), where I taught Python to students across 10+ countries. As the Advisor and former Chairperson of ACM DSU, I organized national-scale tech events, coding and gaming competitions, and helped bridge collaborations across university tech societies. My freelance portfolio spans custom AI systems, MVC web development, YouTube analytics dashboards, and virtual assistance in content and graphic design. Driven by curiosity and impact, I thrive at the intersection of technology, mentorship, and innovation—always eager to build what matters.