AI Engineer · RAG, Agents & LLM Apps
Filip
Gvozdić
Production-grade AI systems that actually work
I build document Q&A systems, AI agents, and LLM applications that are accurate, cited, and cost-controlled – designed to run in production, not just demo well. AWS Certified, with a background shipping real AI infrastructure.
Python
LangGraph
AWS Bedrock
RAG & Vector DBs
LLMOps & Evaluation
Terraform & IaC
Live demos you can try
Three production-grade AI systems – built, deployed, and open-source. Click any one to try it live or watch a walkthrough.
LangGraph · Multi-agent · Cited reports
AWS · IAM-secured · Open-source
RAG · Evaluation · Cost tracking
Experience & Certifications
2024-present
Building AI engineering practice (independent)
RAG systems, AI agents, and LLM apps on AWS. Self-funded certifications and production demos
Present
Senior Project Manager - AI / Data team
Annotation pipelines, dataset preparation, internal tooling and budget ownership for a Data team.
Certification
AWS Certified Generative AI Developer
Professional
Certification
AWS Certified DevOps Engineer
Professional
Certification
IBM RAG & Agentic AI
Professional Certificate
What I build
01.
RAG & Document
Intelligence
Chat-with-your-documents systems with citations, groundedness scoring, and cost control.
02.
AI Agents &
Workflows
Multi-agent systems (LangGraph, CrewAI, MCP)
03.
LLM Apps
on AWS
Production LLM applications on Bedrock, with secure IAM architecture, evaluation, and cost optimization.