I am a results-driven software engineer with experience in backend and full-stack development. I specialize in Python and have worked with FastAPI, Django, ASP.NET, Express.js, Node.js, React, Golang, and gRPC.
I have professional experience developing learning platforms, human resource management systems, ride-sharing applications, and AI training data for software engineering models. I am comfortable building scalable backend services, APIs, and full-stack web applications.
I have worked on LLM fine-tuning data generation, including SFT and RLHF datasets. I have also designed agentic function-calling workflows and multi-step tool-use scenarios to improve code-generation models.
I am a competitive programmer with more than 1,500 solved problems across LeetCode, Codeforces, and HackerRank. This background has strengthened my skills in data structures, algorithms, problem-solving, and writing efficient code.
I hold a Bachelor of Science in Software Engineering from Addis Ababa University. I am eager to learn new technologies and frameworks, and I bring strong communication, testing, documentation, and collaboration skills to engineering teams.
Generated SFT and RLHF training data for LLM fine-tuning in the generalist software engineering domain.
Designed agentic function-calling workflows and multi-step tool-use scenarios to improve LLM code generation. Developed and evaluated Python and JavaScript code samples against strict quality standards for model training pipelines.
Developed backend services for a collaborative learning platform using Node.js and Express.js.
Used Cloudinary for efficient storage and management of educational materials. Earned top honors in a competition judged by Professor Jelani Nelson and Ricardo Baeza-Yates, securing an $8,000 prize.
Contributed to full-stack application development using Golang, gRPC, and React.js.
Created a human resource management tool for the company, supporting internal HR-related workflows and operations.
Spearheaded backend development for RideShare, a ride-sharing application for the Ethiopian market using ASP.NET. The project also used Flutter, Dart, and the Google Maps API.
Implemented research based on the paper "A Matching Algorithm for Dynamic Rideshare" to improve rider-commuter matching, achieving over 90% matching accuracy. Maintained code quality through rigorous testing, 95% test coverage, and comprehensive API documentation.
Bachelor of Science, Software Engineering
Relevant coursework included Data Structures and Algorithms, Web and Mobile Development, Machine Learning, Computer Architecture and Organization, Object-Oriented Design, Operating Systems, Deep Learning, and Natural Language Processing.
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