Building enterprise AI applications, robust backend microservices, and full-stack business platforms.

📍 Jyväskylä, Finland
🌐 Portfolio (samimhamza.com) · 💼 LinkedIn · ✉️ Email

• 🔭 Focus: Enterprise RAG systems, multi-agent workflows, scalable backend architectures, and full-stack platforms.
• 🎓 Education: MSc in Artificial Intelligence at University of Jyväskylä (Expected May 2027).
• 🔬 Thesis Research: LLM-assisted validation for multi-objective optimization in Finnish forest planning.
• 💼 Experience: 5 years of software engineering experience delivering production systems.
• 🛠️ Daily Drivers: Python, TypeScript, React / Next.js, NestJS, PHP / Laravel, PostgreSQL, AWS, Cursor, Antigravity.

• Applied AI & GenAI: RAG Architectures, Multi-Agent Systems, LangGraph, LangChain, AWS Bedrock, ChromaDB, LLM Evaluation
• Backend & Data: Python (FastAPI), TypeScript (NestJS, Node.js), PHP (Laravel), PostgreSQL, Redis, RESTful APIs
• Frontend: React, Next.js, Livewire, Filament v5, Tailwind CSS
• Cloud & DevOps: AWS (ECS, Amplify, RDS, S3, CloudWatch), Docker, CI/CD, Linux
• AI-Assisted Engineering: Cursor, Claude Code, Antigravity

• 🤖 Enterprise RAG & Multi-Agent Assistant — 100+ document internal knowledge assistant benchmarked across AWS Bedrock, LangChain, and LangGraph with PostgreSQL evaluation.
• 🚢 Freight & Logistics ERP System — End-to-end cloud ERP for international ocean freight forwarding, container manifests, and dual-ledger accounting built with Laravel, Filament, and PostgreSQL.
• 🛒 Dara.af E-Commerce Platform — Production marketplace platform supporting daily customer transactions, built with Laravel, Next.js, and PostgreSQL.
• 📦 PGL ERP System — Multi-department enterprise ERP and logistics modules built with NestJS, React, and PostgreSQL.
• 🏥 Health Information RAG Chatbot — Domain-specific RAG application with web scraping, ChromaDB vector indexing, and LLM evaluation.

Explore my full portfolio and case studies at samimhamza.com →