Summary
Shashank Singh is a Quantitative Technologist based in London with 10 years of experience at the intersection of numerical simulation, computer vision, and software architecture. He has built robust mapping and localization pipelines in production while at Niantic’s AR Mapping team and now applies quantitative techniques at Qube Research & Technologies. His background in robotics and perception—honed on ETH Zürich’s AMZ Driverless team—covers sensor fusion, calibration, and embedded systems, giving him a rare full-stack view from microcontrollers to large-scale 3D maps. Comfortable with functional programming and performance-driven engineering, he focuses on pragmatic optimization and stability under resource constraints. Shashank combines academic rigor (MS from ETH Zürich, BS from Georgia Tech) with hands-on delivery in industry-grade systems.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Computer Engineering (CS Minor), 3.76, Bachelor of Science (B.S.), Computer Engineering (CS Minor), 3.76 at Georgia Institute of Technology
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at ETH Zürich
English, Hindi, French