Building RAG & multi-agent systems, backend services, and full-stack web applications.
I'm a software engineer based in Finland with 5 years of experience building web applications and backend systems. Recently, my work has focused on applied AI, including enterprise RAG systems, multi-agent workflows, and hybrid search pipelines on AWS. My core tools are Python, TypeScript, React, Next.js, PostgreSQL, and FastAPI.
Top Skills: Python · TypeScript · FastAPI · React / Next.js · NestJS · PostgreSQL · AWS · Docker · RAG & Multi-Agent Systems
An internal knowledge assistant built for Konecranes to help staff search through 100+ technical documents (PDFs, spreadsheets, and XML files). I compared three different RAG architectures behind a Next.js and FastAPI interface, added a user feedback loop in PostgreSQL, and deployed the stack on AWS.
An open-source Python library for hybrid search and retrieval. It combines BM25 keyword search, dense vector embeddings, and cross-encoder reranking to find relevant documents even when queries contain exact codes or uncommon terms. It also includes basic self-check logic to filter out irrelevant passages before passing them to an LLM.
An e-commerce marketplace built for the Afghan market, supporting hundreds of product listings and daily consumer orders. I led the development team, designed the PostgreSQL database, and built backend APIs and frontend features.
An internal ERP system for a logistics company, managing international shipments, warehouse inventory, HR, and finance workflows. Built with NestJS, React, Next.js, and PostgreSQL.
