Veeresh Taranalli
Senior Autonomy Research Engineer at Skydio
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolVeeresh Taranalli is a Senior Autonomy Research Engineer in the SF Bay Area with 14 years of experience building perception, SLAM, and localization systems for robotics and autonomous vehicles. His career bridges deep academic roots—a Ph.D. in Electrical Engineering from UC San Diego focused on error characterization and modern coding for NAND Flash—with hands-on roles at Skydio, Zoox, and Netradyne where he shipped calibration, mapping, and driver-monitoring solutions. He pairs classical signal-processing and coding expertise (contributions to CommPy implementing Viterbi, turbo and convolutional codes) with modern deep learning and sensor-fusion techniques. Known for turning rigorous research into production-ready systems, he has repeatedly moved between low-level algorithm design and large-scale autonomy stacks. Based in the Bay Area, he brings a rare blend of communications theory, computer vision and practical robotics engineering to challenging perception and localization problems.
14 years of coding experience
14 years of employment as a software developer
Artificial Intelligence Nanodegree, Artificial Intelligence Nanodegree at UdacityPre-University College, Pre-University College at Raja Lakhamgouda Science Institute (RLSI), BelgaumB.Tech, Electronics and Communication, B.Tech, Electronics and Communication at National Institute of Technology KarnatakaSSLC - Karnataka Board, SSLC - Karnataka Board at St. Xavier's High School, BelgaumUniversity of California, San Diego
English, Kannada
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
python10
numpy10
data-structure9
algorithm9
data-structures9
algorithms9
Programming languages (1)
Github contributions (5)
veeresht/CommPy
Jan 2012 - Aug 2020
Digital Communication with Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 272 commits, 31 PRs in 8 years 8 months
Contributions summary:Veeresh primarily contributed to the implementation of convolutional encoding and decoding algorithms within the context of digital communication. Their work involved the creation of core functions for encoding, as well as designing the Viterbi algorithm for decoding and the addition of support for recursive systematic codes. This demonstrates a strong understanding of the fundamental principles of channel coding and its practical application. The user further refactored code, added documentation, and introduced additional channel coding functionalities such as turbo encoder/decoders as well.
galois-fieldpythoncommunicationturbo-codespython3
veeresht/MLNanoDegree
Jan 2016 - Dec 2016
Contributions:56 commits, 54 pushes, 1 branch in 11 months
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.