Summary
Surbhi Singhania is a Senior Software Engineer with 10 years of experience building consumer devices and computer-vision systems, now focused on security and privacy at Verkada. She spent five years at Amazon Lab126 contributing to Astro and Alexa Devices, developing robust backend systems for visual ID, SLAM features, and reliable on-call/release practices. Earlier, she led computer vision efforts at Bossa Nova Robotics, improving barcode detection and OCR to achieve ~92% price-read accuracy and faster real-world performance. Her MS from Carnegie Mellon in Computer Engineering underpins a research-driven approach to vision and ML, including smart-headlight algorithms and embedded perception work. Comfortable across full-stack web technologies (React, Next.js, Node.js, Laravel) and embedded C++/ROS, she bridges research prototypes to production-grade, scalable solutions. Colleagues appreciate her blend of hands-on algorithmic rigor and practical systems thinking that reduces technical debt while improving user-facing reliability.
10 years of coding experience
8 years of employment as a software developer
Delhi Public School- Faridabad
Master of Science (M.S.), Computer Engineering, 3.83/4.00, Master of Science (M.S.), Computer Engineering, 3.83/4.00 at Carnegie Mellon University
Bachelor of Technology (B.Tech.), Electronics Instrumentation and Control, 72, Bachelor of Technology (B.Tech.), Electronics Instrumentation and Control, 72 at YMCA University Faridabad
English, Hindi