
Samim Hamza. An AI/ML Engineer and Software Engineer building production AI systems.
AI/ML Engineer, Software Engineer, and Master's student in Artificial Intelligence at the University of Jyväskylä, with 5+ years of experience building production systems across AI, backend, and full-stack domains.
Currently designing and deploying enterprise RAG and agentic applications at Konecranes using AWS Bedrock, Bedrock AgentCore, LangChain, and LangGraph — integrating LLMs with real business data and workflows. I combine solid software engineering foundations with deep applied AI expertise across conversational UIs, multi-agent orchestration, and vector retrieval systems. I work natively with AI-assisted coding tools and actively follow the fast-moving agentic AI landscape.
Work Experience
- Summer Trainee, Software Development Specialist (AI/ML) at Konecranes (05/2026 – Present): Built multiple production-ready RAG applications on AWS Bedrock using Agents and AgentCore over internal XML, PDF, and XLSX enterprise documents indexed in an S3-based vector store. Implemented RAG variants with AWS Bedrock, Bedrock AgentCore, LangChain, and LangGraph, integrated into a unified Next.js + FastAPI application exposing different RAG backends behind a shared conversational UI. Architected a multi-agent system on AWS Bedrock with a supervisor agent orchestrating collaborator agents for modular, task-specific agentic workflows. Used PostgreSQL for user accounts, session data, and feedback storage to enable evaluation across RAG variants. Deployed using AWS Amplify, ECS, and RDS.
- Senior Software Engineer at Ramaki Group of Companies (05/2024 – 07/2025): Guided and coordinated a team of 8 engineers during the development of an e-commerce platform. Responsible for database analysis and design, developing REST and GraphQL APIs, implementing backend logic, and writing unit, integration, and feature tests.
- Software Engineer at Peace Global Logistics (09/2022 – 04/2024): Developed logistics and supply-chain modules using NestJS, React, and Next.js; designed PostgreSQL databases and optimized complex queries; implemented reusable UI components in React + Tailwind; and collaborated with cross-functional teams to deliver ERP features for 200+ daily users.
- Instructor (Python & Machine Learning) at Kabul University (04/2022 – 10/2022): Taught Python programming and Machine Learning fundamentals to freshman and sophomore students, covering data analysis, model training and evaluation, and practical ML tooling.
- Full Stack Developer at Smart Friqi (26/07/2021 – 20/09/2022): Built ERP modules using Laravel, Nuxt.js, and PostgreSQL; added real-time functionality with WebSockets; and developed dashboards and admin interfaces for business operations.
- Web Developer at TwistedBits ICT (01/05/2021 – 15/07/2021): Built two management information systems using PHP, JavaScript, Laravel, and Vue.js, delivering projects under tight deadlines with a small team.
Education
- Master’s Degree in Artificial Intelligence at the University of Jyväskylä (08/2025 – Present)
- Bachelor of Computer Science (Software Engineering) from Kabul University (2017 – 2021)
Languages
- English
- Persian
- Finnish
Top Skills
- LangChain / LangGraph
- AWS Bedrock (Agents, AgentCore, Knowledge Bases)
- RAG & Vector Search
- Python & FastAPI
- PyTorch & TensorFlow
- PostgreSQL
- Next.js & React