I'm a psychologist turned software engineer who enjoys understanding complex problems and building technology that makes them simpler. My work sits at the intersection of people, technology, and problem-solving. I spend my time on backend systems and APIs, AI-powered applications, and tools that turn data into useful decisions.
Psychology taught me to ask: Why do people behave this way?
Engineering taught me to ask: How can we build something that works?
AI makes me ask: What becomes possible when we combine the two?
I'm drawn to problems where the technical solution is only one part of the equation. The harder part is understanding the people using it.
APIs, business logic, authentication, databases, integrations and reliable services that scale.
LLM applications, RAG systems, intelligent assistants, AI agents and practical AI that solves real problems.
Data pipelines, ETL processes, forecasting models and systems that turn data into actionable insights.
Deploying, containerizing and operating applications in production. I care about reliability, observability, and maintainability.
Products where understanding the people using them matters just as much as the technology behind them.
Python · HTML · CSS · JavaScript · C · Ruby · Shell
FastAPI · Django · Django REST Framework
PostgreSQL · SQL
AWS · Supabase · DigitalOcean · Docker · Railway
LLMs · RAG · Vector Embeddings · Data Pipelines · Forecasting
React
Git · GitHub · Linux · Postman · Figma · Canva
A mental-health platform designed around the needs of young people in Kenya. This project emerged from conversations about how technology can support mental wellbeing in contexts where resources are limited.
Figma · MongoDB · Express · Node.js · AI
Repo Link: MindConnect Repository
A backend platform connecting agricultural data, AI-powered assistance and knowledge retrieval. Built to help farmers access actionable insights from their data.
FastAPI · PostgreSQL · SQLAlchemy · Supabase · Groq
The repository is private, therefore the link cannot be pasted here, unfortunately :(
An AI application exploring the relationship between environmental conditions and mood. This project sits squarely at the intersection of psychology and engineering: using weather data and machine learning to understand how context shapes wellbeing.
Python · FastAPI · AI · Railway
Repo Link: MoodForecast AI Repository
I care about more than getting code to run.
I care about understanding the problem before solving it. Building systems that are maintainable, not just functional. Designing around real users and real constraints. Making complex systems understandable. Learning the why, not just the how. Using technology where it creates meaningful value.
Code is communication. It should tell a story.
My background in psychology directly influences how I approach software.
It makes me naturally curious about human behaviour, decision-making, user experience, systems thinking, communication, and learning. I'm especially interested in how people interact with AI.
I don't see psychology and engineering as separate. One helps me understand the people. The other helps me build for them.
AI agents and agentic systems. Backend architecture at scale. Distributed systems. Deeper work with LLMs and prompt engineering. Cloud infrastructure and DevOps. Data-driven products. The emerging field of human-AI interaction.
I'm experimenting with Ruby and other languages to understand how different design philosophies approach the same problems. There's something valuable in learning across different ecosystems.
When I'm not building software, you'll find me writing poetry, playing piano, drawing, playing basketball, thinking about psychology, or distracted by cats.
I'm interested in working with people who are building interesting things, solving meaningful problems, and asking difficult questions.
If that sounds like you, let's talk. You're already on my GitHub, so now you know me. Feel free to get me to know you.
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Build things. Understand people. Stay curious. Keep going.
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