Tazeb Abera is a Senior Data Scientist with over 15 years of experience delivering AI-driven solutions across healthcare, manufacturing, business operations, and engineering sectors. He holds a PhD in Machine Learning (in progress), an MS in Data Science, an MS in Power Engineering, and a BS in Computer Science.
Specializing in Generative AI, Natural Language Processing (NLP), and classical Machine Learning, Tazeb has expertise in developing and deploying scalable AI systems, including custom large language models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and predictive modeling using algorithms like XGBoost and Random Forest.
Tazeb is passionate about coding, primarily in Python, and skilled in various tools and frameworks including PyTorch, TensorFlow, Hugging Face, and SQL. He designs AI solutions that automate workflows, optimize decision-making, and enhance business operations through intelligent chatbots, semantic search engines, and real-time analytics dashboards.
Committed to innovation and digital transformation, Tazeb leverages his deep technical knowledge and leadership experience to help organizations harness the full power of AI and data science.