I am a Master of Science graduate in Data Science with hands-on experience building and deploying end-to-end machine learning systems in production. Skilled in vector embeddings, large language models, statistical modeling, and cloud technologies such as AWS, Spark, and Airflow, I have delivered scalable, real-time AI solutions including a production-grade product agent. I actively seek Machine Learning Engineer roles to drive impact through intelligent, deployable ML systems.
My expertise spans designing intelligent product retrieval systems, intent classification, and AI agent deployment using state-of-the-art tools and frameworks. With a strong background in fine-tuning deep learning models and optimizing ML pipelines, I excel in creating data-driven strategies and solutions that enhance user engagement and operational efficiency.
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