🚀 AI Systems Engineer | AI Agent Engineer | Backend AI Engineer
I design and build production-grade AI systems, specializing in multi-agent architectures, LLM applications, and scalable backend infrastructure.
With a background in Computer Engineering (MSc) and experience as a Lecturer & Department Chair, I now focus on solving real-world problems using agentic AI systems and data-driven platforms.
- Build AI agents & multi-agent systems for complex tasks
- Develop LLM-powered applications (RAG, evaluation, orchestration)
- Engineer scalable backend systems (FastAPI, event-driven architectures)
- Focus on AI reliability, evaluation, and production deployment
Languages:Python, JavaScript, Java, C, C++
AI Systems & LLMs:AI Agents, Multi-Agent Systems, RAG, LLM Evaluation, LangGraph, MCP
Backend & Data:FastAPI, Django, PostgreSQL, MongoDB, DuckDB, SQLite
ML / AI:PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy
Systems & DevOps:Docker, API Design, Event-Driven Architecture, Git, CI/CD
Production-grade AI system enabling natural language querying across multiple databases (PostgreSQL, MongoDB, SQLite, DuckDB) using multi-agent orchestration.
Tech: Python, MCP, SQL/NoSQL
Hierarchical multi-agent system (Detectives → Judges → Chief Justice) for automated repository and document auditing with evidence-based reporting.
Tech: Python, LangGraph, Multi-Agent Systems
Data quality and schema governance system with validation, lineage-based attribution, and automated reporting pipelines.
Tech: Python, Data Engineering
- 🤖 Built 9+ AI agent systems
- 📊 Developed 11+ ML/AI projects
- 🌐 Contributed to 40+ software projects
- 👨🏫 Former Lecturer & Chair of Computer Engineering (5+ years)
- 📫 Email: amaremek@gmail.com
- 🔗 LinkedIn: https://www.linkedin.com/in/amaremek
- 💻 GitHub: https://github.com/amare1990