Summary
Francisco Ponce is a GenAI engineer and data scientist with 8 years of experience building end-to-end ML and computer vision solutions, from research prototypes to production APIs and scalable systems. He combines a strong academic foundation—a MSc in Computer Science and astronomy background—with practical skills in backend and frontend development (FastAPI, Flask, React/Angular) and deployment on cloud platforms. Francisco has led teams and projects that integrate diverse technologies including deep learning (TensorFlow, PyTorch, YOLO), IoT, and even blockchain-enabled components, emphasizing pragmatic MVPs that validate and scale. His MSc work on compact representations for multi-band astronomical time series highlights an uncommon cross-disciplinary strength in applying astrophysical insight to machine learning problems. Based in Santiago, Chile, he currently focuses on generative AI at RSM Chile while maintaining a track record of delivering production-ready APIs, data pipelines, and mobile/web applications. Colleagues would note his blend of hands-on coding, system architecture, and a researcher’s curiosity that surfaces creative, data-driven solutions.
8 years of coding experience
6 years of employment as a software developer
Data Science Internship, Data Processing, Data Science Internship, Data Processing at Institute for Applied Computational Science (IACS) at Harvard University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidad de Chile
English, Spanish