I'm an AI Engineer specializing in Natural Language Processing, Machine Translation, and Generative AI. I recently completed my Master's in Machine Learning at the African Institute for Mathematical Sciences (AIMS), as part of the African Master's in Machine Intelligence (AMMI) program, a fully funded scholarship supported by Google and Meta. My research focused on machine translation for low-resource African languages, including Ge’ez.
Currently, I work as an NLP Engineer at Batazia, where I build and deploy scalable AI systems for African languages. My work includes fine-tuning large language and translation models (such as NLLB) using techniques like QLoRA, optimizing inference with vLLM and CTranslate2, and deploying production-ready systems using Docker, Kubernetes, AWS, and Azure. I have also developed conversational agents and speech-based assessment tools.
Previously, I worked as a Data Scientist at iQuartic, where I developed LLM-based systems for healthcare and policy analysis using Retrieval-Augmented Generation (RAG) and domain-specific fine-tuning. I also contributed to structuring unstructured medical data to improve downstream analytics.
Earlier in my career, I worked at SingularityNet as a Machine Learning Developer, where I built recommendation systems and large-scale data crawlers for Mindplex media. I also interned at iCog Labs, where I developed mobile applications and worked on robotics and embedded AI systems.
I am actively involved in the African AI community through initiatives like Masakhane and EthioNLP, focusing on advancing NLP for low-resource languages. I have co-authored multiple research papers in machine translation and African NLP.
Feel free to explore my work on GitHub or connect with me on LinkedIn.
Check my resume here.