AI Engineer · Computer Vision · RAG, LLM & AI Agents · MCP · Python. I build and ship production AI systems end to end.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
support-assistant
June 6, 2026 – Present
FastAPI backend for an agentic customer-support assistant: RAG over Qdrant, LangGraph orchestration, Postgres MCP, Firebase auth.
View Projectatlassian-ai-workflow-platform
May 26, 2026 – Present
Atlassian-based multi-department AI workflow automation platform: Temporal workers, MCP integration, webhook gateway, admin dashboard and Streamlit UI in a single Docker Compose stack.
View Projectplakanet
May 20, 2026 – Present
AI-powered license plate recognition (LPR/ANPR) for parking lots and site entrances. YOLOv11 + CCT-S OCR, ONNX DirectML, WinUI 3, .NET 8.
View Projectdoc-chunking-api
May 12, 2026 – Present
FastAPI service for document chunking and sentence-transformer embeddings for RAG, semantic search, and vector database ingestion.
View Projectatlassian-mcp-server
May 6, 2026 – Present
Unified MCP server for Jira + Confluence + Bitbucket (Server/Data Center). 61 tools in a single package and config.
View Projectjira-autonomous-coding-agent
March 12, 2026 – Present
Autonomous AI agent that reads Jira tasks, generates code changes with LLM, and creates pull requests
View Projectagentic-rag-customer-support
March 12, 2026 – Present
AgentDesk - Agentic RAG Platform for customer support automation
View Projectrag-architecture-guide
March 2, 2026 – Present
Classical RAG & Agentic RAG demo with ChromaDB, OpenAI, Gemini, Claude, Ollama, and vLLM. Document chunking, vector search, autonomous tool selection, and RAG evaluation metrics.
View Projectturkish-rag-retrieval-benchmark
August 23, 2025 – Present
End-to-end Turkish RAG pipeline (chunking, embedding retrieval, reranking) with a benchmark of 25+ retrieval models.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML, automation, and problem-solving, which aligns well with innovative and technically driven cultures. The diversity of projects, from workflow platforms to RAG benchmarks and autonomous agents, suggests a broad technical curiosity and willingness to explore different domains. However, without information on collaborative projects or team roles, assessing direct cultural fit for a team-oriented environment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong initiative and ability to work independently on complex technical challenges.