AI reasoning & retrieval
RAG, embeddings, semantic search, reranking concepts, LLM integration, evaluation and hallucination awareness.
I connect retrieval, agent workflows and backend APIs with interfaces people can use. I’m looking for a team that cares about what happens after the demo.

Retrieval systems, assistants, agent workflows and the APIs and interfaces that make them useful.
RAG, embeddings, semantic search, reranking concepts, LLM integration, evaluation and hallucination awareness.
LangGraph, multi-agent workflows and prompt engineering.
React, Next.js, TypeScript, Python, FastAPI, ASP.NET Core Web API and REST APIs.
Docker, Git, Linux / WSL, API boundaries, PostgreSQL, Qdrant and Redis familiarity.
My Wukala-GPT work connects retrieval pipelines and agent workflows with APIs, authentication and an AI service. The listed architecture brings React, ASP.NET Core, FastAPI and vector search into a document-grounded legal AI application.
Explore the architectureAI engineering with retrieval, agents and backend services at the center.
Start a conversationHands-on product work, thoughtful feedback and room to build deeper engineering judgment.
Start a conversationWell-scoped assistants, RAG workflows, AI-enabled interfaces and API integrations.
Start a conversationThe Matcher compares a role with my documented skills and projects, then identifies the evidence and the areas to discuss.