Arpita Tugave
Senior Software Engineer Project Lead - R&D at SMT (SportsMEDIA Technology)
Jacksonville, Florida, United States
Summary
👤
Senior🎓
Top SchoolArpita Tugave is a Senior Software Engineer and Project Lead with 10 years of experience building computer vision and machine learning systems for sports and autonomous sensing. Based in Jacksonville, she leads end-to-end R&D projects at SMT, delivering camera registration, multi-view geometry, 3D reconstruction, and GPU-optimized tracking solutions used across the NHL, NFL, motorsports and tennis. She has a track record of translating academic research into production-grade algorithms—from siamese trackers and predictive filters to augmented-reality overlays—while collaborating closely with operators, QA, and stakeholders. Earlier roles at AEye and research labs sharpened her expertise in lidar–image fusion, real-time perception, and multithreaded GPU pipelines. Arpita pairs a master’s in ECE with a curiosity for higher-dimensional math and optics, often exploring mathematical foundations of vision problems in her spare time. Colleagues rely on her ability to bridge theoretical ideas and robust engineering to push broadcast and perception technology forward.
10 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree Telecommunications Engineering, Bachelor’s Degree Telecommunications Engineering at PES UniversityMaster’s Degree Electrical and Computer Engineering, Master’s Degree Electrical and Computer Engineering at University of Florida
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (23)
depth10
python9
extraction8
feature-extraction7
nlp5
lasagne5
machine-learning5
deep-learning3
theano3
data-science2
scikit2
convolutional-neural-networks2
cpp2
computer-vision2
scikit-learn2
Programming languages (3)
Github contributions (5)
ArpitaSTugave/Coding-Practice
Nov 2016 - Apr 2020
Contributions:104 pushes, 1 branch in 3 years 5 months
ArpitaSTugave/Depth-Estimation-using-CNN
Nov 2016 - Jul 2017
Simple depth maps obtained by using CNN
Contributions:29 commits, 2 PRs, 24 pushes in 8 months
pythondepth-mapscnndepth
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