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AI Engineer · Computer Vision · RAG, LLM & AI Agents · MCP · Python. I build and ship production AI systems end to end.
AI is analyzing your overall score…
Identifying your key strengths…
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.