Hi, I’m Dat Nguyen

Software engineer specializing in full-stack development, LLM-powered multi-agent AI systems, end-to-end ML model deployment and DevOps automation — with hands-on experience building real-world products across space, finance, supply-chain, and e-commerce.

949-738-2033 · Irvine, CA · thanhdat19022001@gmail.com · dat-nguyen.com

GitHub · LinkedIn

Portrait of Dat Nguyen

What I’ve been up to

  • Leading LangChain multi-agent LLM chatbot development with MCP architecture for spacecraft design teams at Planetary Utilities.
  • Deploying secure, hardware-accelerated LLM inference on Scaleway and AWS SageMaker for supply-chain operations at Metalinked Corp.
  • Engineering resilient microservices and video streaming experiences for thousands of learners across cloud platforms.
  • Advancing edge AI pose estimation research and privacy-preserving defenses with Jetson TensorRT deployments at Cal Poly Pomona.

Professional Experience

Software Engineer

Planetary Utilities · May 2025 – Present · Monrovia, CA
  • Led development of a LangChain multi-agent LLM chatbot on an MCP server stack (FastAPI + WebSocket streaming), accelerating SysML v2 model generation for 30+ Honeywell spacecraft systems engineers.
  • Contributed Flexo–SysIDE integration libraries to the OpenMBEE ecosystem to streamline model-based systems engineering.
  • Built spacecraft design engines blending finite element thermal solvers, orbital mechanics algorithms, and NetworkX topology modeling across 15+ modular components.
  • Engineered on-prem Kubernetes microservices with custom KubeSpawner for on-demand workloads, reducing compute costs by 80% and wiring CI/CD with GitHub Actions.

Founding AI Engineer

Metalinked Corp · Jul 2025 – Present · Remote · Saratoga, CA
  • Built LangChain-based multi-agent services orchestrating data, CRUD, and sourcing workflows to automate BOM updates, RFQs, and supplier intelligence.
  • Shipped governed conversational interfaces via LangGraph agents that coordinate cross-team supply chain operations and risk alerts.
  • Deployed secure, low-latency LLM inference in customer VPCs on Scaleway using PyTorch and TensorRT.
  • Developed supplier-risk prediction models with XGBoost + Prophet, achieving 87% accuracy on historical data.

Research Assistant – Mobility Scooter Lab

California State Polytechnic University Pomona · Jan 2024 – May 2025 · Pomona, CA, USA
  • Trained and fine-tuned YOLOv8, ViTPose, and MoveNet human pose models with PyTorch on the HPC Delta Access cluster.
  • Deployed pose estimation on NVIDIA Jetson Orin Nano edge devices with TensorRT, achieving 4× faster inference.
  • Advanced privacy research on event camera data, running membership and inversion attacks and designing Siamese + attention defenses.

Software Engineer

Jaik Solutions Inc. · Jun 2022 – Jun 2023 · Remote · Spokane, WA
  • Developed responsive LMS user and admin portals using React.js, Redux, Mux Video, Context API, and React Query.
  • Built Azure Functions microservices with Node.js, Key Vault, and MongoDB, collaborating on DDD architecture for scalability.
  • Launched real-time APIs supporting live streaming, voting, and user data management for 1,000 users via Socket.IO and Mux Live Streaming.

Software Engineer

FPT Software · Dec 2021 – Jun 2023 · Ho Chi Minh, Vietnam
  • Implemented BFI Finance’s motorcycle loan platform frontend with React.js, Redux, Thunk, and GitHub Actions CI/CD.
  • Integrated the Advance AI eKYC plugin that eliminated 80% of physical paperwork, saving $50K in the first quarter post-launch.
  • Led Mirage.js mock API flow design to keep frontend and backend teams shipping in parallel across a 10-person squad.

Software Engineer Intern

Cybersoft Academy · Jun 2020 – Dec 2021 · Ho Chi Minh, Vietnam
  • Built an education platform with the MERN stack to give 200+ students practical development experience.
  • Indexed high-traffic MongoDB queries, reducing data access latency by 9%.
  • Promoted to Associate Software Engineer to continue scaling LMS features and reliability.

Technical Skills

Software Development

JavaScript (ES6+) TypeScript Python Node.js Express.js React.js Redux-Saga Angular HTML/CSS Tailwind Material-UI WebSocket (Socket.IO) Django FastAPI SQL MongoDB Model Context Protocol (MCP)

Data Science & Machine Learning

Large Language Models (LLMs) LangChain Agent Development PyTorch TensorRT JupyterLab AWS SageMaker

Cloud & DevOps

Docker Kubernetes Helm GitHub Actions CI/CD AWS Azure Functions Vercel Heroku

Education

California State Polytechnic University Pomona

M.S. in Computer Science · Aug 2023 – May 2025 · GPA 4.00 · Pomona, CA

University of Science, VNUHCM

B.S. in Computer Science · Aug 2019 – Aug 2023 · GPA 3.92 · Ho Chi Minh City, Vietnam

Personal Projects

OnlineUp

2022 · React · MongoDB · Spring Boot

Designed a multi-platform queuing experience so businesses can let customers hold their place virtually without on-site wait time.

View project

Image To Text Translation

2021 · Android · Google ML Kit · Java

Led a 3-person team building a mobile app that recognizes text and translates it in real time to enhance immersive language learning.

View project

Certifications & Awards

  • 5th place: at Accessibility, Vision, and Autonomy Meet (CVPR workshop) human pose estimation track (2024)
  • Udacity Certifications: Completed nanodegrees in Computer Vision, Deep Learning, AWS DevOps Engineer, and AWS Cloud Architect (2021).
  • 2nd prize (2019). Won 2nd prize in Vietnam National Science and Engineering Fair (Vietnam ISEF)
  • 1st prize (2018). Won 1st prize in Rube Goldberg Challenge (Israel Institute of Technology Contest)
  • Gold medal in Mathematics at the 30-4 Olympiad Competition for high school students in Vietnam (2017).

Publications

  • Thanh-Dat Nguyen, Chenrui Zhang, Melvin Gitbumrungsin, Amar Raheja, and Tingting Chen. (2024). Remote Kinematic Analysis for Mobility Scooter Riders Leveraging Edge AI. Proceedings of the AAAI Symposium Series, Vol 4, No 1, 314-318 View
  • Thanh-Dat Nguyen, Quoc-Khanh Mai, Minh Hoang Pham, and Thai Son Tran. (2023). Tensor Analysis Of Convolutional Neural Network For Reducing Network Parameters. In Proceedings of the 12th International Symposium on Information and Communication Technology (SOICT'23). Association for Computing Machinery, New York, NY, USA, 197–204.
    View

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