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.

Selected Work

Case Studies

Autonomous Agentic Workflows

Designed AI agents that execute multi-step tasks using tool invocation and reasoning loops beyond one-shot generation.

  • Agentic AI
  • Python
  • Tool Use
  • Reasoning Systems

Long-Term Memory for In-Context Learning

Implemented memory architecture enabling persistent state retrieval across extended sessions to improve continuity and context quality.

  • Memory Systems
  • ICL
  • RAG
  • Python

Scalable AI SaaS Microservices

Built high-performance backend services in Go and Python for AI workloads, emphasizing reliability, modular APIs, and maintainability.

  • Go
  • Python
  • Microservices
  • API Design

Career

Experience

AI Developer

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.

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.