Full Stack & AI Engineer
Architecting enterprise-grade AI agents with Spring Boot and statistical rigour. I combine an MSc in Applied Statistics with full-stack engineering to build autonomous enterprise systems. Recently co-architected a tax automation platform reducing processing time by 98% through LLM integration.
Core competencies and specializations
RAG systems & Agents with Spring AI
High-concurrency Java microservices
Containerized deployment pipelines
Statistical modeling & Credit analysis
Professional journey and achievements
Academic background combining tech and statistics
Enterprise solutions and technical explorations
Enterprise-grade SaaS for automating SR&ED tax filings. Leverages Spring AI to parse unstructured technical data, reducing claim processing time from 5 days to under 1 hour with 95%+ accuracy in narrative generation.
Comprehensive technical documentation knowledge base covering CS fundamentals, AI/LLM technologies, RAG, Agent Architectures, and real-world case studies. Built with Docusaurus.
Built a full computer system from logic gates up to an operating system. Deep dive into computer architecture.
UC Berkeley's rigorous exploration of fundamental data structures and algorithms, implemented in Java.
Lightweight solution for running and managing multiple databases using Docker with shell scripting.
Technologies and tools I work with
Continuous learning and skill validation