AI/ML Engineer · Researcher · Builder
- Building AI that is efficient, accessible, and useful in the real world
- Focus: NLP for low-resource & African languages (Tigrinya / Ge'ez), Computer Vision, and applied LLM systems
- Lifecycle:
Research → Data → Models → Engineering → Deployment
LLMs & Agents RAG Tigrinya / Ge'ez NLP Computer Vision On-device AI Responsible AI
LLMs · RAG · Transformers · GGUF / llama.cpp · MongoDB · RDF / SPARQL · AWS · Linux · CI/CD
| Project | Focus |
|---|---|
| 🧠 AIPal | Offline, on-device AI assistant with local LLM inference |
| 🌍 Tigrinya NLP | Tokenization, language modeling & NLP tooling |
| 🗣️ Ge'ez NER | Named Entity Recognition for low-resource language data |
| ⌨️ Predictive Keyboard | Language modeling for Tigrinya input |
| 🏃 Jump Analysis | Computer vision & pose estimation for jump-height measurement |
| 🌱 Plant Disease Detection | CNN-based agricultural computer vision |
| 🛡️ AI Security Research | Deep learning approaches for intrusion detection |
Low-Resource NLP → African Language AI → Efficient LLMs → Edge AI → Responsible AI
MSc Artificial Intelligence · ML Research & Engineering · Teaching (OOP, Data Structures, Python)
