Ravindra Kompella
Head Of Data Science
Telangana, India
Summary
👤
Senior🎓
Top SchoolRavindra Kompella is a Head of Data Science with 12 years of experience architecting and delivering applied AI solutions across computer vision, NLP, and predictive modeling. He has led teams from research to production on scalable GCP pipelines, combining hands-on expertise in Python, PyTorch and OpenCV with strategic product and operational leadership. His work at EndoVigilant and LightSpun focuses on real-time medical imaging and diagnostic aids, yielding six granted U.S. patents and additional published research in a top medical journal. Earlier entrepreneurial and engineering roles—from founding an edtech startup to leading large delivery programs at Capgemini—give him deep experience in productization, customer-facing deployments, and building high-performing teams. Trained at IIT Kharagpur, BITS and INSOFE, he blends rigorous academic grounding with practical machine-learning engineering. He’s known for turning complex data problems into tangible products and retains a coder’s mindset while steering AI strategy and commercialization.
12 years of coding experience
18 years of employment as a software developer
PGP in Big data analytics and Machine learning, Machine learning, 92%, PGP in Big data analytics and Machine learning, Machine learning, 92% at International School of Engineering (INSOFE)M.S, Software systems Engineering, M.S, Software systems Engineering at Birla Institute of Technology and ScienceB.Tech, B.Tech at IIT Kharagpur
Telugu, Hindi, English
Stackoverflow
1reputation
0reached
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Github Skills (76)
annotations10
deep-learning10
labelimg10
yolov510
imagenet10
darknet10
object-detection10
computer-vision10
image-annotation-tool10
yolov410
convolutional-neural-networks9
linux9
neural-network9
audio9
heatmap9
Programming languages (7)
Github contributions (5)
kmsravindra/ML-AI-experiments
Jul 2013 - Jul 2018
All my experiments with AI and ML
Contributions:46 commits, 43 pushes in 5 years 1 month
pythondata-sciencedeep-learningmlmachine-learning
kmsravindra/labelImg
Sep 2018 - Oct 2018
Modified the labelImg tool to propagate bounding boxes in a frame sequence automatically. This will improve productivity by not having to draw the box every time on the next frame. Added a option in the view menu "Propagate bounding boxes to the next frame". This needs to be checked for the needed functionality to happen.
Contributions:22 commits, 21 pushes in 1 month
sequenceboxframemenua-frame
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