Summary
Omar García is a software engineer and PhD researcher based in the UK with over 15 years of client-focused industry experience and a decade of hands-on engineering roles across Python, .NET, and mobile stacks. He blends applied research—currently simulating obstetric forceps effects with finite element analysis—with production work building ASR and face-recognition REST APIs, real-time video services, and model fine-tuning pipelines using PyTorch and Hugging Face. Comfortable across backend, CV, and ML toolchains, he has delivered end-to-end systems in containers and cloud environments (Kubernetes, GCP) and led cross-functional projects from QGIS plugins to enterprise web services. Known for teaching and mentoring at the university level, he pairs strong academic rigor with practical delivery and a knack for automating dataset and audio preprocessing workflows that reduce manual effort.
10 years of coding experience
16 years of employment as a software developer
Master's degree, Computer Science, Master’s Degree in Computer Science, Master's degree, Computer Science, Master’s Degree in Computer Science at Universidad Autonoma de Yucatan
Doctor of Philosophy - PhD, Computing Science, Doctor of Philosophy - PhD, Computing Science at University of East Anglia