Daniel Tilahun

Daniel Tilahun ML (AI) and Backend Engineer | Full-Stack Development for AI Solutions- Github Portfolio LinkedIn LeetCode Summary Highly motivated ML (AI) and Backend Engineer with 3+ years of experience, I’m driven to build innovative AI solutions through full-stack expertise. I bring strong problem-solving skills, a proven track record of technical innovation, and a commitment to excellence. My goal is to contribute impactful, cutting-edge AI products to a dynamic team, delivering exceptional results with dedication and creativity. Professional Experience PKGSEND (Delivery Company) FastApi and Flutter Developer Developed a driver shortest path system leveraging TSP for optimal route generation and a Quadtree for efficient delivery package grouping within driverspecific areas. Demo Video . 10/2024 – 01/2025 New York, USA AAI Labs Machine Learning Engineer Developed a custom Large Language Model (LLM) tailored for an organization, focusing on central registration functionalities, using the open-source Llama-2 framework by Meta. The project was conducted entirely in Lithuanian. Recommendation Letter . 10/2023 – 04/2024 Vilnius, Lithuanian • • Education Bsc in Software Engineering AAU Relevant Coursework: Machine Learning, Mobile App Development, and Distributed Systems. 09/2019 – 06/2024 Addis Abeba, Ethiopia A2SV Code Academy Relevant Coursework : Data Structures and Algorithms, and Problem Solving. Solved 400+ problems on GitHub , 350+ problems on LeetCode and 150+ problems on Codeforces . 12/2022 – 09/2023 Addis Abeba, Ethiopia Skills Advanced — Python, Node.js, TypeScript, Golang, Machine Learning, Computer Vision, RAG , Chatbot Development , Docker , Kubernetes , AWS , PostgreSQL , MySQL, MongoDB Projects Best Delivery Route Indicator Tech Stack: Using FastAPI, Flutter Web, Flutter Map, and TSP algorithms. A cost-effective delivery route solution using Traveling Salesman Problem (TSP). Features include map visualization and polygon management for optimized routes. • Aladia Worked as Backend Developer at Aladia, a platform for online learning, connection, and collaboration to help users unlock potential and achieve goals. Legal RAG Developed a Legal RAG MVP for a Swiss client, efficiently processing 44 documents with custom chunking, hybrid search, Google Gemini LLM, Pinecone, and OpenAI embeddings. Python Challenge Project Coding challenges repository: problem-solving and system design practice (inspired by 'Build Your Own X'), algorithms to complex components. - 1 / 1