About
Building AI Products That Solve Real Problems
I am Min Khant Soe, Senior AI Developer and founder of SoeMindAI Inc. My work focuses on turning AI capabilities into practical products, reliable systems, and measurable business value.
SoeMindAI Inc. is a C-Corporation registered in Delaware, United States, and the parent company behind SoeMind Foundry (the AI Product Builder Program) and OwlThuTa (AI-native IELTS practice).
What I Do
I design and build AI products end-to-end, from problem definition through production deployment, and coach builders through the same process in SoeMind Foundry.
Why I Build
Many builders can now generate code quickly with AI tools. But building faster does not automatically mean building the right product. I focus on what is worth building, for whom, and what evidence to gather before scaling.
Areas of Focus
My current work centres on:
- •AI product strategy and MVP scoping
- •Generative AI applications and LLM systems
- •Production system design and cost-aware infrastructure
- •Founder and builder coaching through SoeMind Foundry
Practical AI products, not prototypes that never leave a notebook.
Why SoeMind Foundry Exists
AI coding tools have lowered the cost of building. Product thinking, user research, and MVP discipline have not become easier. SoeMind Foundry exists to close that gap for builders willing to do the work.
Principles
How I Work
Principles that shape every product, every cohort, and every engagement.
Real Problems First
No solution-in-search-of-a-problem. Define who hurts and how, before writing a line of code.
Build to Test
Demos and prototypes exist to be tried by real users, not to look impressive in a deck.
Cost-Aware AI
Production AI must be reliable AND affordable. I design with token economics, latency, and failure modes in mind from day one.
Honest Execution
I show what is built, what is shipped, and what is still in progress. No vapor, no inflated roadmaps.
Journey
How I Came to This Work
Engineering Foundation
Years of hands-on engineering across machine learning, LLMs, computer vision, and production AI systems.
Master's in AI
Master's degree in Artificial Intelligence and Data Science from the Asian Institute of Technology.
Production AI
Led end-to-end AI initiatives spanning infrastructure, architecture, backend, frontend, and database design for real clients.
Founding SoeMindAI
Incorporated SoeMindAI Inc. as a Delaware C-Corp to bring practical AI product work under one company.
SoeMind Foundry
Launched the AI Product Builder Program to help others avoid the trap of building too much before proving the problem matters.
Founder
Min Khant Soe
Senior AI Developer and founder of SoeMindAI Inc., with 4+ years architecting and building generative AI applications. I have designed, deployed, and improved AI-powered systems from idea to production across Web3, AI SaaS, and GenAI clients.
Through SoeMind Foundry, I help builders avoid the most common mistake I have seen: building too much before proving that the problem matters. The goal is evidence, not slides.
Both SoeMind Foundry and OwlThuTa are built on the same principle: focused execution around real problems, not feature-stuffing or hype.
Products & Programs
What I am Building
AI Product Builder Program
A 4-week practical program helping aspiring founders and builders turn real problems into focused, testable MVPs.
OwlThuTa
An AI-native IELTS preparation product that helps learners identify weaknesses, practise the right skill daily, and improve through AI-assisted feedback and mock tests.
Production Work
Selected AI Systems & Production Work
Real systems delivered for clients across Web3, AI SaaS, and GenAI.
Multi-Agent AI System for Social Platforms
Designed and built the foundation for an intelligent multi-agent AI system integrated with X (Twitter) and Discord. Implemented a scalable multi-agent architecture including intent detection, RAG-based retrieval, prompt fine-tuning, and coordinated agent response flows.
AI Photo Generation Pipeline
Built an end-to-end automated pipeline for AI-powered photo generation: user image intake, custom Flux LoRA training, and themed photo package generation. Designed for high-throughput production use with parallel processing and cloud deployment readiness.
LiveKit Agent Integration & Observability
Integrated LiveKit agents with Langfuse to enable comprehensive observability: token usage tracking, input/output monitoring, and cost analysis. Implemented guardrails and multi-agent cascade architecture to support production-ready deployment.
Project details shared with client permission. Some details generalized for confidentiality.
If you are building an AI product and want practical guidance on what is worth building, not just how to build it, let's talk.
Apply for the next AI Product Builder Program cohort, or reach out about OwlThuTa beta access.