With 15+ years of experience turning complex business challenges into elegant automated solutions, I've evolved from auditing and risk management into becoming a passionate AI software engineer. My journey has taken me from discovering the power of automation in enterprise environments to now building cutting-edge AI agent platforms that solve real-world problems.
The Automation Journey (2009-2020)
Started my career in IT audit and risk management, where I discovered the transformative power of automation. Spent years building RPA solutions, developing audit scripts, and creating systems that eliminate manual inefficiencies in enterprise environments.
Python Development Era (2020-2024)
Transitioned into full-time automation development, mastering Python and open-source frameworks. Built production RPA systems, developed CI/CD pipelines, and learned that the best automation solutions are those that people actually want to use.
AI Engineering Focus (2024-Present)
Now leading AI agent platform development, combining my deep automation background with modern AI/ML technologies. Working with LLMs, agent frameworks, and building production AI systems that scale across enterprise environments.
- AI Agent Platforms: Multi-LLM systems with robust provider support and production-ready architectures
- Document Intelligence: AI-powered processing pipelines that extract structured data from complex documents
- Production AI Systems: FastAPI backends, streaming systems, and maintainable architectures that teams love to work with
- Platform Engineering: OTEL observability, CI/CD excellence, and the infrastructure that makes AI systems reliable
I believe the best technology solutions are invisible to end users—they just work. Whether it's an automation that saves hours of manual work or an AI system that processes thousands of documents, great engineering means building something so reliable and intuitive that people forget it's even there.
- Advanced agent architectures and reasoning systems
- Model evaluation frameworks and AI observability
- MCP (Model Context Protocol) integrations
- The intersection of traditional automation and modern AI
Always learning, always building, always asking "how can we make this better?"
📫 Let's Connect: LinkedIn