Backend and AI Development specialist with experience in Python and Linux. Handled FastAPI, Django, and PyTorch with skill. Possesses experience of building scalable backends, AI pipelines, and real-time systems.
Overview
1
1
year of professional experience
Work History
Research Intern
iCog Labs
Addis Ababa
11.2025 - 01.2026
Conducted advanced research on Transformers and Large Language Models (LLMs), contributing to experimental design and implementation.
Contributed to grammar-guided generative programming using evolution algorithm and integrating subgraph pattern mining techniques.
Reviewed and analyzed relevant research papers, translating theoretical approaches into practical implementations.
Implemented and experimented with research ideas to evaluate their effectiveness in generative modeling tasks.
Collaborated with the NAC team in a research-oriented environment, strengthening skills in ML research and experimentation.
ICog Labs is a research and development company, collaborating with international AI research groups and serving customers around the world.
Full-Stack / AI Developer
Self-initiated Project
Addis Ababa
08.2025 - 09.2025
Developed a solution-constructing platform combining LLMs, NLP, and RAG pipes, handling 10+ users simultaneously for the time being.
Wrote an async FastAPI backend with enterprise-level security, Redis caching, and celery workers for distributed tasks.
Provided real-time SSE streaming to minimize response time reduction by 40%.
Developed a Flutter mobile application and React.js web frontend for cross-platform usability.
Designed scalable Web Services with FastAPI and Docker, ensuring 99.9% uptime with a microservices back-end supporting 10+ daily API requests per user.
Services dockerized and running on Render, shortening deployment time from hours to minutes and providing seamless CI/CD.
Backend Developer
Addis Ababa University
Addis Ababa
06.2025 - 07.2025
Designed a secure medical management system for Employee and Patient History Management, supporting 50+ simultaneous users and lowering manual scheduling mistakes by 40%.
Implemented JWT authorization and custom RBAC, fortifying access control and decreasing security incidents caused by unauthorized access by 90% during tests within.
Improved backend performance through Redis caching & celery workers addition, reduced average request's time to respond by 30% and increasing task processing rate 2 times.
Applied Domain-Driven Design (DDD) and Clean Architecture, to reduce maintainability and reduce bug-fix time on average by 25% across iterations.
Mobile Developer (Flutter)
Team Project
Adiss Abeba
05.2025 - 06.2025
Designed and launched a Flutter application using Riverpod and gorouter to provide real-time scheduling for patient-doctors to 50+ clients.
Auto time slot allotment and conflict settling, lowering the conflict in scheduling for 50%.
Integrated the application with a NestJS backend, adhering to Clean Architecture to enhance modularity and modifiability.
Conducted UI integration tests using Flutter's test framework, enhancing app reliability and lowering bugs after releasing the application by 20%.