Senior Machine Learning Engineer with 10+ years of experience delivering high-performance Intelligent & Agentic systems at Apple, Google, and others. Specialized in generative AI, transformer/ML model optimization, agentic workflows, secure RAG, and guardrail design for production LLMs. Skilled in real-time inference, scalable data pipelines, and hybrid on-device + cloud deployment. Expert in Core ML, PyTorch, TensorFlow, Spark, C++, Python, Java, and Go, with hands-on CUDA, Metal, and Accelerate optimization. Proven innovator with a track record of end-to-end development ownership - from research to deployment - reducing latency, scaling production models, and driving product impact across ads, vision, and voice. Systems-minded, privacy-first, and adept at integrating LLM tools, MCP, and CI/CD automation (GitHub Actions, Docker, Kubernetes) into robust, production-ready infrastructure.
