A Senior Computer Vision Engineer & CV Team Lead who works at both ends of the stack: low-level Edge AI systems in C/C++ with NVIDIA GPU optimization, and multi-agent autonomous workflows built on LLMs and Generative AI.
I take ideas from algorithm design all the way to hardware realization. I work from first principles and enjoy hunting down bottlenecks on the edge — making sure a model that looks good on paper still holds up under real latency and memory limits.
Today I build autonomous systems that take operational friction off real people — from Indonesian SMEs running 24/7 business agents to enterprise teams automating fraud detection and risk analytics. Across 10+ years, that has meant everything from real-time multi-camera vision on embedded GPUs to production agentic systems.
I lead the computer-vision team at Sigmawave AI (Singapore), and set technical direction for enterprise AI delivery as AI Architect & Technical Lead at V-TEKI. Teaching runs alongside the building: I mentor through Google's developer programs and hackathons (most recently Garuda Hacks 7.0), and for over a decade I've lectured and researched in Electrical Engineering at Soegijapranata Catholic University, leading its 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 image quality gating, plus governed LLM extraction — schema-bound (Pydantic) outputs, grounding checks, and deterministic rule engines, so the model structures language but never decides the verdict.
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.
ETL pipelines, RAG-based knowledge retrieval, and data visualization with Pandas, Plotly, and Tableau.
Continued learning — selected 2025–26 programs & bootcamps:
Google Scholar — 40 citations · h‑index 4 · Scopus — 18 citations · h‑index 3