Person

Daniel Egbo

Daniel Egbo's DataTalks.Club podcast discussions, organized for topic exploration.

Daniel Egbo

Background

Daniel Egbo is an astrophysicist turned machine learning engineer and AI ambassador (Arize, Tavily). A PhD candidate at the University of Cape Town, he builds end-to-end ML and LLM applications with a focus on reliability and learning in public. His work spans knowledge-retrieval assistants, practical evaluation, and applying data science to astronomy.

Podcast Discussions

• From Radio Astronomy to Applied ML: MEERKAT Data Pipelines, Multi-Wavelength Cross-Matching & Production-Grade ML Systems. Discussed: Career Overview: From Nigeria to PhD in Cape Town; MEERKAT and SKA: Radio Telescope Project Overview; Electromagnetic Spectrum: Radio to Gamma Explained; Research Goal: Identifying Radio-Emitting Stars in MEERKAT Data. Related topics: astroinformatics, MLOps, LLMs, data engineering, machine learning, academia, career transition.