Senior ML Engineer & Data Scientist
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Senior Machine Learning Engineer / AI Engineer with 10+ years of experience building large-scale machine learning, deep learning, and generative AI systems across healthcare, biotech, and marketplace platforms. Proven expertise in LLMs, Generative AI, AI agents, Retrieval-Augmented Generation (RAG), and production ML systems, with hands-on experience deploying scalable AI platforms using Python, PyTorch, TensorFlow, FastAPI, and distributed data pipelines. Strong background in designing end-to-end ML architectures, including feature engineering, model training, vector search infrastructure, agent orchestration, and real-time inference systems on cloud platforms (AWS) with Docker and Kubernetes.
Experienced in building AI-powered applications such as conversational AI systems, recommendation engines, fraud detection models, and scientific ML pipelines that process terabytes to petabytes of data. Skilled in ML platform engineering, LLM evaluation, prompt engineering, model monitoring, and scalable ML infrastructure, with deep experience in distributed systems using Spark, Airflow, Kafka, and large-scale data platforms. Proven ability to lead AI architecture decisions, mentor engineers, and deliver production-grade ML and GenAI systems in regulated environments.
Bachelor's Degree in Computer Science – University of Pennsylvania (2007 – 2011)
