AI/ML Engineer from Ethiopia, focused on bridging Symbolic AI with Deep Learning. I build intelligent systems that combine structured reasoning with data-driven approaches.
- 🔭 Currently exploring the intersection of Symbolic AI and Deep Learning
- 👯 Open to collaborating on impactful AI/ML projects
- 🌱 Always learning — currently diving deeper into reinforcement learning and neuro-symbolic systems
| Project | Description | Tech Stack |
|---|---|---|
| wheat-disease-classification | Wheat disease classification using DNNs with VIS-NIR spectroscopy and RGB images | Python, PyTorch, Jupyter Notebook |
| Cow-Anomaly-Detection | Video anomaly detection for cows based on public datasets using VAEs | Python, PyTorch, Jupyter Notebook |
| Distributed-CNN | Parallelized CNN training with OpenMP + MPI | C, OpenMP, MPI |
| hyper-motivation-experiments | Hypermotivation experiments — starter code for MeTTa cognitive architecture | MeTTa |
| arxiv-bot | Telegram bot that notifies subscribers of interesting arXiv papers based on their preferences | Python, Telegram API |
| GridRL | Reinforcement learning in a grid world with policy and value iteration | Python |
| CKY-Parser | CKY parsing for English using probabilistic context-free grammars | Python, Jupyter Notebook |
| EvoFederatedLearning | Hybrid experiments combining evolutionary and connectionist federated learning (FedAvg, FedProx) | Python, Jupyter Notebook |
| NARS-Trader | A trading system implementation built on NARS | Python |
| Resonance-Experiments | Research experiments for Resonance Labs | Jupyter Notebook |
Languages
AI / ML
Frameworks & Tools
