I'm a Software and Machine learning Engineer currently deep in the Python and AWS ecosystems, where I focus on building and scaling AI-driven systems.

My foundation was built in the world of Java and enterprise backend architecture, but I've made the leap toward Data Science, AI, and Machine Learning. My focus now is on shipping production-ready AI systems connected to AI Agents.

I'm also the creator of Agentyme feel free to visit and take a look. 🚀

Agentic Workflows Building agents that plan, use tools, manage memory, and recover from failures.

Production AI Deploying agent architectures.

Evaluation & Observability Designing eval frameworks and trace monitoring to understand what agents are actually doing in production.

Full-stack Python Owning the full pipeline, from data ingestion to deployed API.

Security Designing against prompt injection, over-permissioned tools, and context leakage.

RAG Building and optimizing retrieval pipelines that go beyond basic semantic search.

Tooling Connecting agents to external tools and services via MCP servers.

Cost Optimizing token usage, model selection, and inference patterns to keep systems efficient at scale.

I'm always happy to talk about agentic design patterns, RAG pipelines, or the real challenges of putting LLMs into production.