I am a Computer Engineer and AI Engineer focused on Edge AI, Generative AI, and MLOps. I build end-to-end AI systems, from GPU-accelerated inference on NVIDIA Jetson devices to containerized LLM services deployed through CI/CD pipelines.
I have hands-on experience designing computer vision, Vision-Language Model, Retrieval-Augmented Generation, and multi-agent AI solutions. My work combines practical software engineering with a hardware foundation in embedded systems, digital design, and GPU inference optimization.
I developed HoloBot, an Edge AI visual assistant that performs real-time scene understanding and motorized camera control on an NVIDIA Jetson Orin Nano. This research was accepted for presentation at IEEE GEM 2026.
I build production-style AI backends using FastAPI, Docker, AWS, GitHub Actions, and automated testing. My projects include streaming RAG systems, self-correcting code-review agents, a Jira AI VS Code extension, and an AWS chaos-engineering agent.
I am comfortable working across Python, C++, JavaScript, SQL, CUDA, and Verilog. I enjoy turning AI research and prototypes into reliable, deployable systems that operate efficiently in real-world environments.