Applied AI & Data Systems
Developing robust end-to-end ML pipelines and distributed data processing systems.
Addis Ababa-based applied AI engineer from Ethiopia, focused on turning data systems, OCR, and machine learning into usable tools with real-world impact.
Applied AI engineer focused on building real-world systems combining data pipelines, machine learning, and deployable applications. Experience in OCR for low-resource languages, computer vision, and multi-sector data platforms. Contributing to open-source AI initiatives for Ethiopian languages and data accessibility.
Developing robust end-to-end ML pipelines and distributed data processing systems.
Advancing OCR and language modeling for Ethiopic scripts including Amharic and Afan Oromo.
Contributing to accessible research and dataset democratization in the AI space.
Designing decoupled, microservice-oriented infrastructures for AI deployments.
Scalable ML system utilizing CNNs for early crop disease detection. Optimized for low-latency inference on edge devices.
Research platform for Ethiopic datasets. Focused on Amharic and Afan Oromo corpus collection and benchmark development.
OCR pipeline for Amharic script. Integrates Tesseract engine with custom OpenCV image preprocessing layers.
ENQUEUED_IN_BACKLOG
Bachelor of Science in Computer Science
Artificial Intelligence & Data Analysis Nanodegree Programs
CCNAv7: Networking Fundamentals and Enterprise Networking