I’m a former chemistry student turned self-taught Machine Learning Engineer with hands-on experience building real-world AI systems from RAG chatbots to predictive models. I’ve worked on projects that fine-tune LLMs, deploy end-to-end ML pipelines, and solve real problems with technology. Dedicated to learning, building, and making AI useful for everyday people.
My experience spans developing and deploying transformer-based models, integrating cloud APIs, building internal tooling to improve AI system accuracy and relevance, designing CI/CD pipelines, and collaborating with cross-functional teams to align AI solutions with business objectives.
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Built a system that automatically generates short-form videos with captions, voiceovers, and stock visuals.
Designed a pipeline combining Google Cloud Text-to-Speech, caption generation, and FFmpeg-based video assembly.
Integrated Pexels API to fetch relevant stock content and automated editing with Python + FFmpeg.
Delivered a streamlined UX where users input a title and receive ready-to-publish videos.
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