Khant Htoo Naing

AI Software Engineer

Agentic AI systems with memory, reasoning, and production reliability.

I design and build autonomous AI software that combines cognitive architectures with scalable Go and Python microservices for SaaS environments.

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Selected Work

Case Studies

TechQA Agent — Agentic RAG

Agentic RAG that answers IBM technical-support questions across 28k Technotes. When single-shot retrieval misses, the agent rewrites the query and searches again before answering — grounded in retrieved docs and measured against gold answers.

  • Agentic RAG
  • Qdrant
  • MiniLM
  • LLM
  • Python
View on GitHub →

Campaign Success Prediction (MLOps)

End-to-end MLOps pipeline predicting marketing-campaign success. A Random Forest classifier tuned and versioned in MLflow, wrapped with experiment tracking, orchestration, deployment, and monitoring for a reproducible, production-style workflow.

  • MLOps
  • MLflow
  • Random Forest
  • Python
  • Pipeline
View on GitHub →

Steel Industry Energy Classification

Classification model predicting energy-load type for a smart small-scale steel plant (UCI dataset), letting the plant anticipate high/medium/low consumption and cut costs. Covers EDA, model training and tuning, dependency management, and containerization.

  • Machine Learning
  • Classification
  • Python
  • Docker
View on GitHub →

Career

Experience

Software Engineer

June 2023 - Present

General Magick Industries, Thailand

  • Architected autonomous AI systems for complex reasoning and task execution.
  • Engineered memory mechanisms to retain and retrieve state over long-running interactions.
  • Developed scalable AI-powered SaaS microservices using Go and Python.

Software Developer Intern

January 2022 - April 2022

Rangsit International College, Thailand

  • Built a lightweight RAG application in Python with a FAISS vector database to answer department FAQs.
  • Developed a Staff Evaluation web app with a React JS frontend to analyze staff self-motivation.
  • Collaborated in a team of 7 to deliver both applications for the department.

Capabilities

Skills

Core AI

  • Agentic Systems
  • In-Context Learning
  • RAG
  • Memory Systems

Languages

  • Python
  • Go

Engineering

  • Microservices
  • API Design
  • SaaS Architecture
  • Agentic Coding

Background

Education & Certificates

Education

  • Rangsit University, Thailand

    Bachelor of Science in Information and Communication Technology

    January 2023 - June 2024

  • Yangon Technological University, Myanmar

    December 2016 - January 2020

Get In Touch

Contact

Khant Htoo Naing

Specializing in Agentic AI and autonomous AI agents. I focus on practical architecture and measurable delivery speed using agentic coding workflows.

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