I'm an AI Engineer and Full Stack Developer who enjoys building end-to-end AI products that transform complex problems into useful applications.
From data and models to APIs, deployment and user experience, I build solutions that people can actually use.
Before becoming an AI Engineer, I worked in Social Communication.
That experience shaped the way I approach technology today: every successful solution starts by understanding people before writing a single line of code.
Now I apply that same mindset to Artificial Intelligence, Machine Learning, NLP, LLM-powered applications and Full Stack Development.
I enjoy turning ideas into production-ready products that solve meaningful problems.
Same purpose. Better tools.
Every project starts with one question.
What problem are we solving?
That question drives every technical decision that follows.
I believe the best AI products are not defined by the complexity of their models, but by the value they create for people.
Python · Go · JavaScript · TypeScript · SQL
Machine Learning · Deep Learning · NLP · LLMs · RAG
Scikit-learn · TensorFlow · Hugging Face · LangChain · XGBoost
Docker · MLflow · DagsHub · GitHub Actions
Node.js · Express · FastAPI · REST APIs
React · Tailwind CSS
Turning information overload into useful knowledge.
An end-to-end Retrieval-Augmented Generation (RAG) application that retrieves, understands and synthesizes information from trusted real-time sources before generating grounded responses.
Tech Stack
Python · LangChain · ChromaDB · Streamlit · Groq API · Unsplash API
🌐 Live Demo · 📂 Repository · 📖 Documentation
Helping online communities become safer through AI-powered moderation.
A production-ready NLP application that detects toxic comments using a fine-tuned DistilBERT model, exposed through a Go microservice with reproducible MLOps workflows.
Tech Stack
Python · Hugging Face Transformers · Go · Gin · Docker · MLflow · DagsHub
🌐 Live Demo · 📂 Repository · 📖 Documentation
Supporting earlier understanding of an underdiagnosed health condition.
A Machine Learning application that predicts urinary incontinence type from patient-reported symptoms, transforming healthcare data into an accessible clinical decision support tool.
Tech Stack
Python · Scikit-learn · Streamlit · Docker · Supabase
🌐 Live Demo · 📂 Repository · 📖 Documentation
Making clean water guidance accessible where it matters most.
An award-winning AI assistant developed during a 24-hour hackathon that generates personalized low-cost water purification plans using locally available resources.
Tech Stack
Python · Streamlit · LLM · Prompt Engineering (update with final stack)
🌐 Live Demo · 📂 Repository · 📖 Documentation
Helping animal shelters make better adoption decisions through Machine Learning.
A predictive Machine Learning application that estimates shelter adoption time, enabling organizations to prioritize resources and improve adoption strategies.
Tech Stack
Python · XGBoost · Scikit-learn · Streamlit · Docker Compose · pytest
🌐 Live Demo · 📂 Repository · 📖 Documentation
I'm currently building and learning about
- AI Agents
- Production AI Systems
- MLOps
- LLM Applications
- AI Product Engineering
I'm always interested in collaborating on AI products that solve meaningful problems.