Adam Yun
  1. About
  2. Experience
  3. Projects
  4. Contacts

About Anchor

About

Adam Yun

Software Engineer

I build AI apps using large language model, and computer vision models.

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Experience Anchor

Experience

  1. JUNE, 2025 - PRESENT

    Lead Software Engineer, NATT

    Research and develop web applications leveraging LLMs, SLMs, fine-tuned models, and computer vision models. Architect, build, and maintain scalable codebases. Design RESTful APIs and implement CI/CD pipelines for seamless integration and deployment. Mentor teammates in best practices for code quality, testing, and agile workflows. Balance research with pragmatic engineering to deliver AI applications that advance products and empower the team to innovate from preprocessing raw data to deploying the models.

    1. Python
    2. JavaScript
    3. React
    4. Flask
    5. HTML
    6. CSS

  2. NOVEMBER, 2023 - JUNE, 2025

    Full Stack Software Engineer, NATT

    Fine-tuned and deployed LLMs for NLP tasks like chatbots and search. Designed and trained computer vision models from scratch for a fly count detector. Created an automation for driver assignments and daily job orders for logistics workflows and also integrated chatbots powered by language models to handle user inquiries for enchanced customer experience. Deployed and maintain the projects on Raspberry Pi and Ngrok tunnels, and automated testing and deployment with GitHub Actions.

    1. Python
    2. JavaScript
    3. React
    4. Flask
    5. HTML
    6. CSS

Projects Anchor

Projects

  1. AI Chatbot & Analytics

    An AI chatbot developed with a fine tuned LLM and integrated with Python and Flask. Also has a React built analytics dashboard for monitoring model and product performance. It uses MongoDB to store conversation data and runs on a Raspberry Pi and Ngrok for hosting and tunnel services.

    1. Python
    2. React
    3. Flask
    4. MongoDB
    5. Raspberry Pi
    6. Ngrok
    A project image

  2. WitAI Chatbot

    A Java and Spring Boot chatbot utilising WitAI API to reply users using intent recognition, creating a human-like chatting experience. It's built on vanilla web dev, and deployed on a Raspberry Pi and Ngrok for hosting and tunnel services.

    1. Java
    2. Spring Boot
    3. JavaScript
    4. HTML
    5. CSS
    6. Raspberry Pi
    7. Ngrok
    A project image

  3. DerbyGPT

    A ChatGPT clone that lets users chat with an LLM. built with CrewAI, for fast response making use of low computing resource on user's hardware.

    1. TypeScript
    2. Next.js
    3. React
    4. CSS
    5. Vercel
    6. CrewAI
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  4. Camping Site Landing Page

    A camping site landing page for a camping business, built with vanilla web dev and deployed on Netlify.

    1. JavaScript
    2. HTML
    3. CSS
    4. Netlify
    A project image

Contacts Anchor

Contacts

Get In Touch

I'm always open to chat, and meet new people. Whether it's a question, or to just say hi, feel free to reach out!