Bio
Senior Data Science Engineer with expertise in MLOps and end-to-end machine learning solutions. Over my career at Micron Technology and ZS Associates, I have worked extensively on implementing scalable ML models, developing anomaly detection pipelines, and optimizing inventory systems to deliver tangible business value. My core strengths lie in leveraging deep learning frameworks like TensorFlow, PyTorch, and Keras, especially for transformer models and LLMs in production. I’m actively contributing to Large Language Models (LLMs) for material demand forecasting and finetuning models using Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). I also bring strong MLOps expertise, having deployed machine learning solutions on Google Cloud Platform (GCP) with Kubernetes, Airflow, and Docker for automation, monitoring, and model versioning. Skilled in building user-friendly UIs with Streamlit, Angular, and RShiny, I ensure that complex data science workflows are easily accessible and maintainable. With a keen interest in Web3 technologies, computer vision, and deploying ML models for edge devices, I’m excited to drive advancements in these emerging fields.
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