Jaime Varela is a Senior Software Engineer based in San Francisco with six years of experience at the intersection of aerospace and software, recently advancing avionics and autonomous flight software at Wisk after roles at Avidyne. He blends applied machine learning, data engineering, and aerodynamics—having researched ML-driven reduced-order modeling for transonic flows and contributed to safety-focused Flight Data Monitoring programs. Jaime holds a Master’s in Computer Science and is pursuing a PhD in Aerospace Engineering, pairing rigorous research with production engineering. Comfortable across Python, PyTorch, PySpark and visualization stacks, he builds data pipelines, dashboards, and deployable ML systems that bridge research and operational aviation needs. Outside work he’s equally drawn to planes and motorcycles, reflecting a practical, hands-on curiosity that informs both prototyping and systems design.
6 years of coding experience
3 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Master of Science - MS, Aerospace Engineering, Master of Science - MS, Aerospace Engineering at Universidad Europea
Master's degree, Computer Science, Master's degree, Computer Science at Worcester Polytechnic Institute
Bachelor of Science - BS, Aerospace Engineering, Bachelor of Science - BS, Aerospace Engineering at Universidad Politécnica de Madrid
A toolbox for processing and analysing air traffic data
Contributions:5 pushes, 4 branches in 1 year 6 months
pythontoolboxair-traffic-dataairtraffic
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