Ritu Bajpai
ESD Design Engineer at Apple
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolRitu Bajpai is an ESD design engineer and silicon engineering leader with over a decade of hands-on experience in advanced CMOS, SoC product reliability, and image sensor technology across Apple, ON Semiconductor, and SanDisk. She blends deep device-level expertise—TCAD modeling, process integration, and reliability engineering—with applied machine learning for computer vision, having developed CNNs to enhance low-light imaging and studied sensor architecture effects on learning algorithms. Holding a PhD in Electrical and Computer Engineering and an AI graduate certificate from Stanford, she pairs rigorous academic training with product-focused R&D in high-volume semiconductor environments. Based in Mountain View, she is comfortable bridging cross-functional teams from device and process to CAD and layout, and she brings a rare combination of semiconductor device physics and practical ML-driven imaging improvements.
11 years of coding experience
8 years of employment as a software developer
PhD, Electrical and Computer Engineering, PhD, Electrical and Computer Engineering at The George Washington UniversityB-Tech, Electrical Engineering, B-Tech, Electrical Engineering at Indian Institute of Technology (Banaras Hindu University), VaranasiArtificial Intelligence Graduate Certificate, Stanford Center for Professional Development, Artificial Intelligence Graduate Certificate, Stanford Center for Professional Development at Stanford University
Stackoverflow
611reputation
67kreached
5answers
17questions
Github Skills (16)
arducam8
keras8
object-detection6
ggplot6
amazon-web-services6
tensorflow6
tmux6
python6
gpu6
segmentation6
forloop6
matplotlib6
mask-rcnn4
augmented-reality4
instance-segmentation4
Programming languages (3)
Github contributions (5)
beeRitu/drivable-area-segmentation
Dec 2018 - Jan 2020
Drivable area segmentation on driving dataset
Contributions:27 commits, 14 PRs, 17 pushes in 1 year 1 month
segmentation
ElHacker/PTAM
Feb 2018 - Jan 2020
Parallel Tracking and Mapping (PTAM) is a camera tracking system for Augmented Reality. It requires no markers, pre-made maps, known templates, or inertial sensors.
Contributions:27 commits, 2 PRs, 4 pushes in 1 year 11 months
augmented-reality
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.