Pranav Ganti
Staff Software Engineer - Automated Driving
San Jose, California, United States
Summary
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Senior🎓
Top SchoolPranav Ganti is a Staff Software Engineer in automated driving based in San Jose with nine years of experience applying robotics, computer vision, and deep learning to real-world perception and localization problems. He moved up through roles at Bosch after building production-grade SLAM and AR capabilities as a senior computer vision engineer at Placenote, and brings hands-on systems experience dating back to mechanical and manufacturing engineering internships at Tesla and Sierra Wireless. His technical focus spans SLAM, Bayesian neural networks, and uncertainty-aware perception—skills he leverages to make autonomous systems more robust in ambiguous environments. With an M.A.Sc. in Mechanical and Mechatronics Engineering from Waterloo and practical test-and-validation chops from energy and hardware roles, he blends rigorous modeling with pragmatic deployment experience. An engineer who started in hardware test fixtures and compressor modeling, he uniquely bridges low-level physical systems and cutting-edge perception stacks.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Mechanical Engineering- Mechatronics Option, Bachelor of Applied Science (B.A.Sc.) Mechanical Engineering- Mechatronics Option at The University of British ColumbiaMaster of Applied Science (M.A.Sc.) Mechanical and Mechatronics Engineering, Master of Applied Science (M.A.Sc.) Mechanical and Mechatronics Engineering at University of Waterloo
Stackoverflow
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0reached
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Github Skills (42)
weighting10
visual-odometry10
loss10
softmax10
python9
qualcomm9
machine-learning9
tensorflow9
bayesian9
deep-learning9
image-data9
bit9
segmentation8
manifold8
semantics8
Programming languages (4)
Github contributions (5)
navganti/SIVO
Sep 2018 - Aug 2019
SIVO - Semantically Informed Visual Odometry and Mapping. Integrated Bayesian semantic segmentation with ORBSLAM_2 to select better features for Visual SLAM.
Contributions:7 commits, 2 PRs, 6 pushes in 11 months
visual-odometryintegratedsemantic-segmentationodometrymapping
navganti/caffe-segnet-cudnn7
Mar 2018 - Sep 2018
This repository is a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of SegNet with cuDNN version 7 acceleration.
Contributions:22 commits, 20 pushes in 6 months
amdaccelerationlossbitimage-data
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