BSc Artificial Intelligence @ JKU Linz. I engineer AI-powered backends, build automation systems, and bridge the gap between cutting-edge ML and real business value.
Not just a developer — a builder with business instinct.
I'm a software engineer and AI specialist from Vienna, currently pursuing a BSc in Artificial Intelligence at Johannes Kepler University Linz. My work sits at the intersection of engineering and business — I don't just build systems, I build systems that solve real problems.
My journey started at HTL Ungargasse, where I completed my diploma thesis BiblioMind — an AI-powered book recommendation system deployed in collaboration with Wien Digital (MA01). Since then I've worked as a Software Developer Intern at Raiffeisen Group IT twice, led AI projects, and founded AZS Media e.U.
I believe the most powerful engineers understand both the technical depth and the business context of what they build. That combination is rare — and it's exactly what I bring.
What I reach for when building real systems.
Applied intelligence with product discipline, system guardrails, and measurable output.
I build AI flows that stay attached to real data, real inventory, and real user intent so model output becomes operational instead of decorative.
From assistants to workflow tooling, I design systems that combine LLM orchestration, state, and external services without sacrificing reliability.
I focus on evaluation paths, fallback logic, and constrained outputs so AI features remain useful under production pressure and enterprise constraints.
Clear boundaries, durable interfaces, and backend decisions that scale beyond the first release.
I structure services around clear domain boundaries, predictable data flow, and replaceable infrastructure so product logic stays easy to evolve.
My focus is pragmatic performance: async workflows, resilient integrations, and database access patterns that hold up when usage and complexity increase together.
I design for testability, deployment clarity, and production maintenance from the start, because backend quality is defined by how a system behaves after launch.
Signals that show how I work: technical depth, system ownership, and execution in real environments.
Grounded recommendation flows against a large live library dataset so responses stayed relevant, available, and deployable.
Shipped automation and data-quality work inside real corporate constraints, with testing discipline and infrastructure awareness.
I operate across design, backend implementation, AI integration, and business communication to move projects from concept to delivery.
Real systems. Real impact. Real code.
An AI-powered book recommendation system deployed in collaboration with Wien Digital (MA01) for Vienna's public library network. Built with a clean layered architecture (FastAPI + TensorFlow + LLMs), grounding AI suggestions against a 50,000+ book catalog to guarantee every recommendation is actually available at the library.
A modular personal AI assistant delivered via Telegram, built with a multi-provider AI architecture (OpenRouter + HuggingFace), natural language calendar management in German, persistent context memory across sessions, and interaction logging for personal model fine-tuning. Designed for corporate network environments with full SSL compatibility.
A 4-agent AI pipeline (Planner → Researcher → Analyst → Writer) that conducts deep research on any topic in real time. Built with LangGraph orchestration, FastAPI streaming backend, and a React frontend with live agent progress tracking. Powered by Azure OpenAI gpt-4o and Tavily search.
Founded and operate a digital solutions company providing web development, automation systems, and digital presence strategy for B2B clients. Responsible for technical architecture, client acquisition, and project delivery across multiple sectors.
Real environments. Real responsibility.
Developed Python automation tools and worked on data quality assurance pipelines. Implemented unit and integration testing. Worked with async programming patterns in a corporate CI/CD environment. Gained experience navigating enterprise infrastructure and security constraints.
Technical project leadership for BiblioMind — an AI recommendation system for Vienna's public library network. Responsible for KI-Entwicklung (TensorFlow, LLaMA 3.1), backend architecture, SQL & Big Data pipelines, and acting as the interface between technical requirements and business stakeholders.
First Raiffeisen internship focused on KI-Lösungen and software engineering fundamentals. Worked with SQL databases and Linux CLI. Built expertise in applying AI approaches to enterprise software challenges.
Founded and currently operate a digital solutions company. Responsible for technical architecture, client acquisition, B2B strategy, budget management, and end-to-end project delivery for digital transformation clients.
Where the technical rigor was built.
I'm currently available for full-time engineering roles, and freelance AI projects. If you're building something interesting and need someone who understands both the code and the business — let's talk.
Send a message →Leave your number and a short note. The button opens a prepared email to sahel@ahmadzai.tech so the callback request is ready to send immediately.