Hi, I'm Yoseph
or yosephfetene.
AI Engineering & Systems Programming focused CS student based in Addis Ababa, Ethiopia. I build scalable web platforms, RAG-based AI systems, automation tools, and clean UIs.
About Me
I'm a 3rd-year Computer Science student deeply interested in how software can solve real problems at scale. My focus sits at the intersection of AI Engineering, backend systems, and systems programming with Rust.
I've built RAG-based AI chatbots, Telegram automation platforms, PDF processing pipelines, and full-stack web applications — all deployed and production-ready. I care about clean architecture, performance, and meaningful developer experience.
Currently exploring Rust for backend systems and LLM architectures for AI-powered products.
Languages I work with
Frameworks & Tools
AI / ML
Projects
AI-powered creative workstation platform for streamlining digital workflows and productivity. Built with a responsive, visually polished full-stack architecture, reusable components, and deployed on Vercel with modern CI/CD workflows.
Retrieval-Augmented Generation (RAG) chatbot for Ethiopian Premiere League football knowledge. Implements semantic search with vector embeddings, data ingestion pipelines, and conversational AI workflows to answer contextual questions over structured and unstructured football data.
Intelligent PDF processing and document handling platform. Built for handling PDF workflows, document extraction, and processing pipelines with a clean, responsive interface focused on usability and developer experience.
Telegram-based counseling automation platform for a university Christian fellowship. Provides anonymous counseling and prayer request workflows, session management, counselor assignment, urgent case handling, and leadership command systems — improving accessibility, privacy, and operational efficiency.
Systems-focused backend authentication platform built in Rust. Implements secure authentication flows and backend APIs with emphasis on performance, memory safety, reliability, and low-level performance optimization. — In progress
A collection of UI/UX concepts and modern interface systems designed in Figma. Focused on responsive design systems, user-centered principles, and clean interaction design — prototypes for web and application interfaces.
Work Experience
Revelo Talent
Worked on AI infrastructure labeling and training tasks across cloud technologies. Handled workflows using AWS, Pulumi, Java, Python, YAML, JavaScript, and Ruby. Contributed to AI training pipelines and technical annotation systems in collaborative remote engineering environments.
Mindrift
Trained AI systems by evaluating, correcting, and improving AI-generated responses. Worked on response validation, reasoning correction, and output optimization. Developed strong analytical and prompt evaluation skills through continuous AI feedback workflows.