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INNOVATION THROUGH CODE
Taehun Kim Software Lab is a one-person software company in South Korea. One founder sets the direction and works with AI agents from the first commit through production operations.

Founder
Founder & CEO
South Korea
Taehun Kim has spent 17+ years in software engineering. He began by writing a Linux network driver for a TCP/IP chip, then ported the Linux kernel to one of the first ARM64 single-board computers before moving into machine learning — sound recognition, ML infrastructure for autonomous driving, and esports analytics.
He is a Golden Kubestronaut, a distinction awarded for simultaneously holding the full set of CNCF Kubernetes certifications, and has earned 26+ cloud and AI credentials across AWS, Google Cloud, and CNCF. He has contributed code to the Linux kernel, TensorFlow, and Buildroot.
In January 2026, he founded Taehun Kim Software Lab around a simple premise: when AI is orchestrated well, one engineer can take a product from end to end — architecture, code, infrastructure, and customer support.
Operating model
A traditional product team divides work by role. Here, one person makes every product decision while AI agents help execute the design, code, and operations.
AI takes on the work of a traditional team, but not the judgment behind it. One person owns product, engineering, and operations — and remains accountable for all three.
One person directs multiple AI agents across coding, code review, and debugging. Iterations that once took weeks can now be completed in days.
A product idea can move directly into production-ready code. Design, implementation, and testing happen through pair programming with AI, while the person accountable for the outcome approves every release.
One person handles architecture, infrastructure, releases, and support, eliminating handoff gaps. A shorter chain means faster feedback and faster fixes.
Expertise
Seventeen years of experience, from bare-metal boards to production ML platforms. That breadth makes a one-person software company possible.
Agent systems that plan, use tools, and maintain state — including a LangGraph-based DevOps agent built for an esports ML platform.
Training, optimizing, and serving production models — including scene classification with 99% accuracy, OCR, and on-device inference using TFLite quantization.
AWS and Google Cloud architecture, plus on-premises and managed Kubernetes — backed by the full set of CNCF Kubernetes certifications.
GitOps delivery with Argo CD, training pipelines built with Kubeflow and MLflow, and FinOps work that reduced an esports platform’s cloud bill by 60%.
Bootloaders, kernel drivers, and board support packages — including a TCP/IP driver merged into the mainline Linux kernel and a kernel port for one of the first ARM64 single-board computers.
Web and mobile apps, APIs, and edge infrastructure — everything needed to turn working code into a reliable service.
Products
Every product is designed, shipped, and operated by one person. Each live product serves real users and real traffic.
Developer-first image CDN
Transform images directly through the URL, automatically serve WebP and AVIF, and pay no egress fees. Built on Cloudflare infrastructure.
Prompt-generated 3D hero backgrounds
Describe a scene in plain language and get a production-ready WebGL background. It runs at 60 fps on mobile, adapts to light and dark themes, respects reduced-motion preferences, and integrates with any stack in one line of code.
A daily deduction game
Solve one case a day in five to ten minutes. There are no multiple-choice answers — connect the clues and reach your own verdict. Free and ad-supported, with no in-app purchases. Available on iOS, with Android coming next.
Three products are live, all built and operated under the same model. More are already in development, and each new release is announced first at taehun.dev.
Track record
Embedded Linux, then machine learning, and now a company of one. Each stage built the foundation for the next.
View full profile2008 – 2017
Worked close to the hardware, building bootloaders, kernel drivers, and board support packages for network chips and single-board computers.
2019 – 2025
Built production machine learning systems, from on-device SDKs and distributed training to MLOps platforms and their underlying cloud infrastructure.
2026 – Present
Founded Taehun Kim Software Lab in South Korea. Three products are live, each designed, built, and operated by one person working with AI.
Contact
For product questions, partnership ideas, or problems that need an engineer who can own the work end to end, email the founder directly — no queue, no Tier 1 support, no handoff.
Send an email