I am a M.Sc. Information and Communication Engineering student at HAW Hamburg, specializing at the intersection of embedded systems, applied AI, and cybersecurity. My work focuses on building intelligent, security-aware systems — from low-level firmware and hardware design to machine learning pipelines for anomaly detection and threat analysis.
I am particularly interested in:
- Embedded AI — deploying lightweight inference models on resource-constrained hardware (ARM Cortex-M, RISC-V, FPGA)
- Cybersecurity Engineering — hardware security, firmware vulnerability analysis, cryptographic protocols, and risk assessment
- Intelligent Systems — applying ML/AI to solve real-world problems in security monitoring, fault detection, and predictive analytics
Embedded Systems Cybersecurity Applied AI & ML
───────────────── ───────────────────── ──────────────────────
ARM Cortex-M / TI MSP Risk Assessment & CVSS Supervised & Unsupervised
RISC-V Architecture Firmware Security Anomaly Detection
FPGA / VHDL Cryptography (RSA, AES) Edge Inference (TFLite)
C / Assembly / RTOS Vulnerability Analysis scikit-learn / PyTorch
LTspice Circuit Sim Network Security NLP & LLM Integration
Hardware Debugging Incident Response Data Pipelines & ETL
Languages
Embedded & Hardware
AI & Machine Learning
Web, Cloud & DevOps
| Project | Domain | Stack |
|---|---|---|
| 🔐 Embedded Cybersecurity Risk Assessment Tool | Cybersecurity · Embedded Systems | Python, CVSS, Risk Modeling |
| 🔑 RSA Security Analysis | Cryptography · Security | Python, Number Theory |
| 🛰️ Mars Rover System Requirements | Embedded Systems · Systems Engineering | Requirements Engineering |
| 🤖 AI Engineering Copilot | Applied AI · LLM Integration | Python, LangChain |
| 📉 Customer Churn Analysis | ML · Anomaly Detection | Python, scikit-learn, Streamlit |
| 🌍 AI Environmental Impact | AI Research · Sustainability | Python, Data Analysis |