Full-Stack & AI Engineer · M.Sc. Mathematics · 5 years experience
I build production-ready AI systems and full-stack applications — from LLM agents and MCP tool servers to mobile apps and scalable APIs. My M.Sc. in Mathematics means I don't just use AI as a black box; I understand the math underneath.
LLMs · MCP (Model Context Protocol) · Function Calling · RAG Pipelines
AI Agents · Model Fine-tuning · OpenAI API · Anthropic API · LangChain
PyTorch · TensorFlow · NumPy · pandas · ChatGPT API
I design and build AI systems end-to-end — from architecture to deployment. Specialties include building MCP tool servers, designing function-calling pipelines, training and fine-tuning models, and integrating LLMs into production applications.
Languages
Frontend
Backend
AI / ML
Databases
Cloud & DevOps
M.Sc. in Mathematics — applied to real engineering problems:
- Probability & statistics for ML model design and evaluation
- Linear algebra & optimisation for algorithm development
- Mathematical modelling for simulation, prediction, and data-driven systems
- Algorithm design and complexity analysis for performance-critical software
- AI SaaS products — full-stack apps with LLM features, streaming, auth, and billing
- AI agents & chatbots — ChatGPT API, function calling, MCP tool servers
- Mobile apps — cross-platform iOS & Android with React Native
- Data pipelines — ETL, RAG systems, vector search with PostgreSQL pgvector
- APIs & microservices — scalable Node.js / Python backends with CI/CD
- Browser & desktop extensions — Chrome extensions, desktop applications
- Payment integrations — Stripe and payment gateway integration
I'm available for freelance projects — AI integrations, full-stack builds, mobile apps, and mathematical modelling.