SafeArm AI
A browser-based robotic arm simulation that you control through natural language.
AI Engineer
I am Cyprian Kiplangat, an AI Engineer from Kenya working across language technology, agents, robotics-flavored interfaces, and fast product experiments. Most of my work lives in the space between research curiosity and practical software that people can actually try.
Priority project
A low-resource language translation project focused on making local AI more useful for indigenous Kenyan languages.
A lot of AI progress still misses indigenous and low-resource languages, which means communities like mine are left behind by systems that claim to be universal. I started this project to push against that gap by fine-tuning NLLB 600M locally on an 8GB VRAM laptop, iterating for hours at a time, and turning it into a Swahili-Kalenjin translation system with public models, a research preview, and room to grow into something much bigger.
2025 - now / Long-term research and product direction
Selected work
Some projects here are polished demos, some are hackathon builds, and some are experiments that mattered more for the idea than the finish. I still want them visible because they show how I think.
A browser-based robotic arm simulation that you control through natural language.
A learning tool that turns any GitHub repository into an interactive explanation and exploration experience.
A personalization demo that changes messaging based on locale and visitor intent without leaning on invasive tracking.
About
I study Information Technology at Kabarak University, and I tend to approach software with one question in mind: can this idea become something a real person can use, trust, or learn from? That is why a lot of my work sits at the intersection of language, interfaces, systems, and product thinking instead of staying as model experiments alone.
Professionally
I like applied AI most when it is attached to a clear problem: local language access, better developer learning, more intuitive interfaces, or tools that make complex systems easier to work with. I am comfortable using AI to move faster while building, but I still judge the work by whether the final product feels coherent and useful.
Personally
Outside code, I am pulled toward science and esoteric questions, especially the huge ones about where we came from, why we are here, and where we might be going. I like hearing people talk about quantum physics, subatomic particles, and string theory even when I only understand part of it. The Big Bang Theory is still one of my favorite comfort shows, and The Matrix keeps staying with me because it feels like philosophy and technology asking the same old question about reality from different directions. That curiosity probably explains a lot about how I think and build.
Tools and stack
Most of these projects sit somewhere between product building, model integration, and experimentation, so the toolbox is broader than one framework or one AI provider.
Languages and core
Frontend and product
AI and model work
Infra and deployment