Industry Experience
Principal Machine Learning Engineer, Large Language Models, SambaNova Systems (Dec 2024 – Present)
- Research and production deployment of LLM inference optimization techniques, including KV cache optimization, speculative prefill and decoding, prompt compression, test-time adaptation, and latency optimization (TTFT/TPOT).
- Developed agentic AI systems for enterprise applications, spanning context engineering, memory architectures, agent frameworks, and enterprise onboarding, in collaboration with Stanford University.
Machine Learning Engineer, Multimodal AI, SambaNova Systems (Jul 2021 – Aug 2024)
- Led the bring-up and deployment of vision-language models on SambaNova Cloud and SambaStudio.
- Developed post-training pipelines and optimization techniques for multimodal foundation models, enabling production-ready vision-language AI systems.
Software Development Engineer Intern, Buying, Ordering Systems & Services (BOSS) / Supply Chain Optimization Technologies (SCOT), Amazon (May 2020 – Jul 2020)
- Designed and developed end-to-end debugging and visualization tools for large-scale inventory management and supply chain optimization systems.
- Built production software to improve developer productivity and operational visibility for internal engineering teams.
Software Engineering Intern, Software Automation Tools (SW-TOOLS) / Flash Products Group (FPG), Western Digital (Jun 2018 – Jul 2018)
- Developed machine learning solutions for predicting SSD lifetime and drive health using telemetry data.
- Built internal automation tools and FPGA dashboards to streamline validation workflows and engineering operations.