Applied AI Engineer | AI Systems, Agentic Architectures & LLM Engineering
I build AI-powered applications and systems, with a focus on agent orchestration, LLM workflows, retrieval systems, and AI infrastructure.
Interested in the engineering behind intelligent systems: how models, tools, memory, and data come together to create reliable and useful applications.
- Agentic AI Systems & Multi-Agent Architectures
- LLM Orchestration & Inference
- Retrieval-Augmented Generation (RAG)
- Context Engineering & Memory Systems
- AI Automation & Tool Integration
- Backend Engineering for AI Applications
Agentic Deep Research
Multi-agent research system featuring web retrieval, evidence extraction, semantic caching, source verification, and structured report generation.
FastAPI LLM Inference
LLM inference service exploring quantization, adaptive model routing, LoRA fine-tuning, agentic retrieval, and observability.
GitBridge
MCP server providing GitHub repository search, information retrieval, and analysis capabilities to AI assistants.
Synthetica Cognitive Sandbox
Experimental multi-agent simulation environment exploring persistent memory, graph-based context, and agent interactions.
Python · FastAPI · LangChain · LangGraph · ChromaDB · TypeScript · React · PostgreSQL · MCP · Ollama