Nguyễn Đình Nguyên Bắc
AI Engineer — software-defined vehicles
I build production AI for software-defined vehicles: computer-vision and edge-AI pipelines, virtual vehicle simulation, and multi-agent systems. Before that, applied research in speech, vision, and NLP — including a research internship at National Chung Cheng University (Taiwan).
nguyendinhnguyenbac@gmail.com GitHub LinkedIn
I graduated in Data Science from the Industrial University of Ho Chi Minh City and now work at AutoNxt AI. I care most about the engineering that turns a promising model into something dependable — the pipeline, the evaluation, and the scaffolding that makes it safe to ship. Lessons from that work end up on the blog; the projects live on the projects page.
Experience
- Work on software-defined vehicles (SDV): production computer-vision / AI pipelines, edge AI on automotive hardware, and virtual ECU / vehicle simulation.
- Project Kaizenics — built KX-Solution, a domain-agnostic agentic AI platform (multi-agent orchestration), with an SDV application: virtual cars on RemotiveLabs ECUs with Android Automotive and CARLA.
- Built Baby Safety Reminder, a separate child-presence safety system, with digital.auto.
- Built a smart HR assistant (recruitment, payroll, employee services) using LangChain + the OpenAI API.
- Implemented tool-using agents with memory, retrieval, and a vector database over internal systems.
- Researched video deepfake detection with Transformer models.
- Authored a research report and presented at the International Student Research Symposium at CCU.
Education
GPA 3.48/4.0 (Good) · Coursework: Deep Learning, NLP, Computer Vision