- Technology leader with 14+ years at the intersection of AI, semiconductors, and embedded systems (edge, automotive, robotics).
- Proven ability to translate customer needs into product strategy and engineering execution. Recognized innovator with over 25 U.S. patents (granted and published).
- Experienced in building and leading global, customer-facing engineering teams.
- Past roles at Micron, SanDisk, and Bosch shaped my expertise in AI, advanced semiconductors (high-performance computing and memories) and embedded system design.
- Currently pursuing M.S in Artificial Intelligence.
- Academic research interests:
- Predictive Machine Learning models for Optometry research.
- Generative AI models for on-device multimodal tasks in computational visualization
- Machine Learning: Training-to-Inference workflows (ML and MLOps), model profiling and benchmarking
- LLM (Agentic AI with OpenAI SDK, Google ADK and MCP) and SLM (Qwen, LLama)
- Computer Vision: CNN, ViT
- Model Engineering: ScikitLearn, PyTorch, TensorFlow, HuggingFace Transformers, Numpy, Pandas, Matplotlib, Seaborn, ONNX, OpenCV, OpenAI SDK, Google ADK, MCP, Autogen, LangChain, OpenMMLab,
- MLOps: SQL, Streamlit, Airflow, MLFlow
- Hardware: Nvidia Jetson/Orin/RTX/A100, Renesas R-Car, RaspberryPi
- Programming: Python, C/C++, Verilog
- Systems Engineering: Azure Cloud (VM), Ubuntu, Containerization, CI/CD DevOps
- Product Strategy, Competitor Analysis and Product Marketing for Semiconductor products
Beyond work:
- Founder of CampML.org, a community-driven ML bootcamp
- Active K-12 STEM volunteer and hackathon mentor
- Maker at heart — experimenting with robotics, IoT, 3D printing, and AI art