Elias Andualem is a Lead Generative AI Engineer with nine years of software experience and a five-year focus on building production-grade AI/ML systems, specializing in LLMs, NLP, and prompt engineering. He has led end-to-end generative AI products using RAG, LangChain, LangGraph and FastAPI, routinely improving accuracy and cutting costs while deploying both open-source and proprietary models. Elias has hands-on experience across the stack—from TensorFlow models for speech and image tasks to full-stack apps built with Django, React, and React Native—and has applied this to Ethiopian-language ML and OCR projects with measurable gains. As a startup co-founder he translated research into user-facing Telegram features and increased code reuse by 60%, showing a strong mix of product sense and technical leadership. Based in Addis Ababa, he combines practical deployment skills with research-grade model work, often extracting structured features from noisy web data to boost downstream performance.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Software Engineering, Bachelor's degree, Software Engineering at Addis Ababa University
Machine Learning and Data Engineering training, Machine Learning and Data Engineering training at 10 Academy
A research project that aims to create an application that takes Amharic statements in text or audio format. The application will initially transcribe the audio data into Amharic text if the input is an audio signal. The transcribed sentences are then translated into Ethiopian sign language native grammar, and the application displays the final result as a graphical animation. The project was carried out by a team of four people.
Contributions:5 commits, 6 pushes, 2 branches in 1 year 2 months
Contributions:67 commits, 4 PRs, 26 pushes in 7 days
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