I am an engineer focused on the intersection of Machine Learning, Intelligent Systems, and Hardware Engineering. I enjoy building end-to-end ML systems—from training modular models to deploying them via robust pipelines—while maintaining a deep fascination for digital logic design and embedded systems. I build from first principles, whether in software or silicon.
- 🤖 Machine Learning & MLOps: Building scalable, reproducible pipelines and deploying models efficiently.
- ⚡ Hardware & Embedded Systems: Designing digital logic circuits and exploring hardware-accelerated AI.
- 🧠 Problem Solving: Navigating complex systems, optimizing computational efficiency, and designing robust architectures.
| Category | Technologies & Tools |
|---|---|
| Languages | Python, Java, TypeScript, JavaScript |
| Frameworks & UI | React, FastAPI |
| ML & Data Science | PyTorch, TensorFlow, NumPy, Pandas, Matplotlib, Jupyter Notebook |
| DevOps & Tools | Docker, Git, GitHub Pipelines |
| Hardware / DLD | Verilog, Digital Logic Design, Embedded C |
- Modular Fraud Detection MLOps Pipeline A complete, end-to-end machine learning pipeline built with FastAPI and Docker. Focuses on modular architecture, data validation, and reproducible deployment for financial fraud detection.
- NLP Text Classifier A streamlined multi-label text classification system optimized for processing and organizing textual data efficiently.
- 4-Bit Hardware ALU A foundational hardware project implementing arithmetic and logic operations at the gate level, demonstrating a strong grasp of digital logic design.
- **Digital Safe System (In Progress)🏽 An embedded systems project focusing on secure state-machine logic, input validation, and hardware-software integration.
When I'm not looking at a code editor or a circuit diagram, you can usually find me:
- ♟️ Calculating lines on a chessboard.
- ⚽ Watching soccer and analyzing tactics.
- 📝 Appreciating and sharing poetry and fine arts.
- Email: abrhamtesfaye191@gmail.com