Vivek Akkala
Team Lead at MathWorks
Hyderabad, Telangana, India
Summary
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Senior🎓
Top SchoolVivek Akkala is a Team Lead with 9 years of experience specializing in computer vision and image processing, currently driving deep learning feature development for object detection at MathWorks. He led MATLAB implementations and framework interoperability for state-of-the-art detectors like YOLO v2 and developed ONNX converters to enable export/import across ecosystems. Vivek combines academic rigor from an M.Tech. in Communication and Signal Processing at IIT Hyderabad with practical systems experience—designing FPGA-based ultrasound processing and robust algorithms for tiny-object detection (e.g., 300x300 barcodes in 15k×15k images) achieving 99% accuracy. His background also includes industrial vision work such as lens-contaminant classification, video stabilization with Kalman tracking, and automotive headlight automation, reflecting a pragmatic blend of research and production engineering. Based in Hyderabad, he is known for turning complex vision research into production-ready tooling that interoperates across frameworks.
9 years of coding experience
5 years of employment as a software developer
Intermediate, 8.5, Intermediate, 8.5 at KrishnamurthyMaster of Technology (M.Tech.), Communication and signal processing, Master of Technology (M.Tech.), Communication and signal processing at IIT, HyderabadSchool, School at D.A.V Public SchoolBachelor of Engineering (B.Eng.), Electronics and Communication Engineering, 8.4, Bachelor of Engineering (B.Eng.), Electronics and Communication Engineering, 8.4 at Osmania University
Telugu, Hindi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github contributions (5)
matlab-deep-learning/Pretrained-YOLOv8-Network-For-Object-Detection
Feb 2024 - Mar 2025
Contributions:1 release, 85 pushes, 7 branches in 1 year 1 month
matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2
Mar 2021 - May 2021
Contributions:8 commits, 13 pushes, 3 branches in 2 months
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