Pratik Kulkarni
Data Scientist 2
Charlotte, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolPratik Kulkarni is a data scientist with eight years of experience combining machine learning, computer vision, and hardware-software co-design to deliver production-ready solutions. Currently at Novant Health, he applies deep learning and data engineering tools (Python, TensorFlow/PyTorch, OpenCV, Databricks) to real-world problems, following prior image-analysis work at AI.EPRI and a thesis on multi-object tracking with RNNs. His background includes deploying defect-detection models that saved a client over $1M quarterly and designing a reconfigurable CNN architecture for edge inference published in a Springer volume. Comfortable across research and engineering, he bridges academia and industry to optimize ML pipelines for constrained environments and healthcare applications.
8 years of coding experience
5 years of employment as a software developer
Master's degree (Thesis), Computer Engineering, 3.87, Master's degree (Thesis), Computer Engineering, 3.87 at University of North Carolina at CharlotteSavitribai Phule Pune University
Github Skills (14)
bounding-box7
average-precision5
precision-recall4
object-detection4
deep-learning3
python3
machine-learning3
openimages3
imagenet3
image-augmentation2
robot2
keras2
faster-rcnn1
arduino1
Programming languages (2)
Github contributions (5)
TeCSAR-UNCC/key-track
Mar 2019 - Oct 2019
Contributions:4 commits, 5 pushes, 1 branch in 6 months
pratikkulkarni228/segmentation-as-a-service
Jul 2019 - Jul 2020
This project aims at building an image segmentation model using Google's DeepLab and depoying the model as a service.
Contributions:38 pushes, 1 branch in 1 year
deeplabdeep-learningimage-segmentationcomputer-visionas-a-service
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