Software Engineering student at Addis Ababa University and graduate of the 10 Academy Artificial Intelligence Program. Currently Junior AI Engineer Intern at HabTech Technology, building healthcare analytics, intelligent chatbots, and production RAG systems. AI engineer building intelligent applications, healthcare analytics, and RAG-powered solutions.
Bridging theoretical machine learning with robust full-stack engineering to build high-impact applications.
I am a Software Engineering student at Addis Ababa University and a graduate of the intensive 10 Academy Artificial Intelligence Program. As an intern Junior AI Engineer at HabTech Technology, I contribute to AI-powered healthcare analytics solutions and intelligent conversational systems.
My work focuses on Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), natural language processing, vector databases, and scalable backend APIs using FastAPI and Python.
A comprehensive toolkit spanning modern machine learning, distributed data pipelines, and production web engineering.
A showcase of production-ready applications spanning on-device AI, healthcare management, e-commerce, and predictive modeling.
Developed AI-powered healthcare analytics features for the CareLink mobile application at HabTech Technology. Supported RAG pipelines, offline voice input, and on-device AI.
An intelligent tool that converts multi-speaker meeting audio into structured, actionable transcripts and sentiment-aware summaries.
A comprehensive healthcare management system featuring role-based portals for Patients, Doctors, and Administrators with dynamic appointment scheduling.
A scalable MERN stack web platform for managing product catalogs, shopping carts, secure checkouts, and customer orders.
End-to-end credit scoring framework using transactional e-commerce data to predict credit default probabilities with alternative data.
Clinical diagnostic assistance model that evaluates patient clinical markers to classify diabetes onset risk.
Analyzed financial news headlines using natural language processing to predict equity trend correlations and price momentum.
Analyzed thousands of fintech user reviews to uncover core satisfaction drivers and friction points.
Track record of building engineering solutions, mentoring aspiring technologists, and delivering results.