AI Engineer specializing in RAG pipelines, LLM orchestration, and multi-agent architectures. Currently building AI products at Dotkonnekt.
A live RAG demo over my resume, projects, and notes. Click a prompt or type your own.
prototype · mock responses · real version runs LangChain + Neo4j + Gemini
Unified provider-agnostic image generation with Gemini and LiteLLM, featuring structured prompt optimization.
Automated ingestion and Gemini-powered sentiment + purchase-intent analysis at scale, with smart comment evaluation.
End-to-end multi-step reasoning over PDFs with LangChain, Neo4j Vector DB, and Langfuse observability.
AI-powered data analysis platform that processes CSV files into interactive visualizations, NLP-driven querying, text mining, and one-click report generation.
The tools I reach for to ship agentic, observable, and actually useful AI systems.
Dotkonnekt
Building production agentic AI systems: RAG pipelines, multi-agent orchestration with LangChain/LangGraph, and observability with Langfuse.
Dotkonnekt
Hands-on workshop program: LLM fundamentals, prompt engineering, and shipping first agentic prototypes.
Mast Global / Victoria's Secret
Built automated test suites for retail systems — where the engineering instincts started.