At Physical Intelligence, I design and deploy production-grade machine learning and Generative AI solutions, including LLM-powered applications, RAG systems, document intelligence pipelines, and AI agent workflows. I build context-aware retrieval and response systems using Hugging Face Transformers, LangChain, LlamaIndex, vector databases, and FastAPI.
Previously at MOSTLY AI and Actable AI, I built end-to-end ML pipelines, predictive analytics and time-series forecasting models, NLP and computer vision solutions, and large-scale data workflows. I bring 6+ years of experience across Python, SQL, PyTorch, TensorFlow, Apache Spark, Databricks, MLflow, Docker, Kubernetes, and cloud AI platforms.
