Francisco Costela is a Staff AI Researcher and applied machine learning engineer with over 15 years in data-driven science and eight years of industry experience, blending deep academic research in visual neuroscience with hands-on deployment of edge AI and LLM systems. He has led end-to-end ML projects from data ETL and quantitative analysis to model training and production on IoT image sensors, notably building a RAG-powered Azure OpenAI chatbot showcased at NRF 2024. His background includes postdoctoral research at Harvard Medical School and machine learning work in vision science, giving him rare domain expertise in gaze, visual behavior, and sensor-driven computer vision. Proficient across Python, TensorFlow/Keras, YOLO/Ultralytics, Azure, and multiple edge AI platforms, he bridges prototyping and productization for real-time, sensor-constrained environments. Colleagues rely on him for experimental design, data architecture, and clear technical storytelling that turns complex research into deployable solutions.
8 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD, Visual Neuroscience, Doctor of Philosophy - PhD, Visual Neuroscience at Arizona State University
Master's degree, Neuroscience and Behaviour, 10, Master's degree, Neuroscience and Behaviour, 10 at Universidad Pablo de Olavide, de Sevilla
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Universidad de Granada
Master's degree, Biomedical Engineering, 2:1, Master's degree, Biomedical Engineering, 2:1 at University of Oxford
Heriot-Watt University Edinburgh Campus
Postdoctoral Trainee, Ophthalmology, Postdoctoral Trainee, Ophthalmology at Harvard Medical School
Contributions:4 commits, 2 pushes, 1 branch in 2 years 3 months
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Francisco Costela - Staff AI Researcher at Aledade, Inc.