Abhijith Bagepalli
Data Science Engineer 3
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolAbhijith Bagepalli is a Machine Vision and Data Science Engineer with 8 years of experience building image processing and deep learning systems for automated inspection of railway components. Currently at Wabtec’s KinetiX Inspection Technologies, he designs production-grade computer vision algorithms for wayside inspection systems, having previously owned multiple end-to-end inspection products at Trimble. His background spans research on neuromorphic imaging and acoustically induced vibration-based depth estimation to practical deployments on embedded platforms like NVIDIA Jetson, reflecting both academic depth and hands-on engineering. Known for taking proofs-of-concept to deployed systems, he combines algorithm development, customer-driven product iteration, and operational monitoring to close the loop from lab to field. Based in Atlanta, he brings a rare mix of sensor-level insight and applied ML focus specifically tuned to rail-industry needs.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at University of North Carolina at CharlotteBachelor of Engineering (B.E.), Telecommunications Engineering, Bachelor of Engineering (B.E.), Telecommunications Engineering at Visvesvaraya Technological University
English
Stackoverflow
470reputation
67kreached
5answers
5questions
Github Skills (27)
predict9
architecture7
keras7
lstm7
html6
php6
google-visualization6
opencv6
roi6
machine-learning6
python6
to-do6
javascript6
image-processing6
image6
Programming languages (3)
Github contributions (5)
abhijithrb/SeizurePrediction
May 2019 - Oct 2020
A CNN + LSTM architecture to predict seizure from EEG data
Contributions:34 commits, 33 pushes, 1 branch in 1 year 5 months
pytorchpythondeep-learninglstmmachine-learning
abhijithrb/rude-carnie
Oct 2017 - Nov 2017
Contributions:22 commits, 22 pushes, 1 branch in 18 days
agegender-detectionage-gendergendertensorflow
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