A Senior AI Engineer with a rare dual expertise: architecting low-level Edge AI systems in C/C++ and NVIDIA GPU optimization, while designing intelligent multi-agent autonomous workflows with LLMs and Generative AI.
I take ideas from algorithm design all the way to hardware realization. I thrive on solving bottlenecks in edge environments — making sure AI models don't just perform well on paper, but execute flawlessly under strict latency and memory constraints in the real world.
Right now I'm building intelligent autonomous systems that remove operational friction for real people — from Indonesian SMEs running 24/7 autonomous business agents, to enterprise teams automating fraud detection and risk analytics. Over 10+ years I've delivered sub-66.7 ms inference across 15 simultaneous 1080p streams on one end, and enterprise agentic systems on the other.
Alongside engineering I teach and mentor — currently as a Google Prompt Engineering VILT Trainer at Smartbridge International, and for over a decade as a lecturer and researcher in Electrical Engineering at Soegijapranata Catholic University, leading national robotics teams across UAV, AUV, AGV, and humanoid platforms.
TensorRT (FP16/INT8 quantization), NVIDIA Jetson, PyTorch Forward Hooks, dynamic batching, and strict latency budgeting for real-time inference.
QwenPaw (AgentScope), Qwen3-14B, LangChain, LangGraph, MCP, and the Claude & Gemini APIs — building autonomous, tool-using agent workflows.
Computer vision, CNNs, Transformers, sensor fusion, and the YOLO family for detection, recognition, and verification.
Tesseract OCR and Indonesian KTP extraction with regex-based structured field parsing and image quality gating.
ROS, UAV / AUV / AGV systems, and microcontroller integration across Arduino, STM32, Raspberry Pi, and dsPIC.
Domain-Driven Design, async FastAPI, Go microservices, Docker, and GitHub Actions CI/CD.