Machine Learning Engineer with 5+ years of experience delivering scalable AI/ML solutions deployed in production across financial and healthcare domains. Specialized in Generative AI (LLMs, RAG, Prompt Engineering, Agentic AI systems), Deep Learning, and Classic ML. Developed 5+ end-to-end ML pipelines and production LLM systems using Python and Hugging Face, improving automation efficiency by 40%. Skilled in data pre-processing, model optimization, and explainable AI (XAI) techniques including SHAP and LIME. Integrated AWS/GCP cloud infrastructure, containerized deployments using Docker/Kubernetes, and enabled real-time inference pipelines for production environments. Experienced in mentoring students and leading agile teams that deployed 4 scalable ML models across research and industry, reducing time-to-insight by 40%.
Machine Learning Engineer with 5+ years of experience delivering scalable AI/ML solutions deployed in production across financial and healthcare domains. Specialized in Generative AI (LLMs, RAG, Prompt Engineering, Agentic AI systems), Deep Learning, and Classic ML. Developed 5+ end-to-end ML pipelines and production LLM systems using Python and Hugging Face, improving automation efficiency by 40%. Skilled in data pre-processing, model optimization, and explainable AI (XAI) techniques including SHAP and LIME. Integrated AWS/GCP cloud infrastructure, containerized deployments using Docker/Kubernetes, and enabled real-time inference pipelines for production environments. Experienced in mentoring students and leading agile teams that deployed 4 scalable ML models across research and industry, reducing time-to-insight by 40%.