Chandan Dwivedi

Gurugram, Haryana, India
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Summary

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Senior
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Top School
Chandan Dwivedi is a Senior Machine Learning Engineer with 10 years of experience building production-grade AI systems, currently focused on cybersecurity and fraud detection at Zupee. He blends deep learning, computer vision and graph technologies—moving systems from prototype to scalable deployment using PyTorch/TensorFlow, OpenCV, Flink, Kafka and AWS EKS. His recent work applies Graph Neural Networks to multi-accounting and community-detection problems, having already integrated GraphDBs like Neptune and Neo4j into real-time pipelines. Earlier roles span edge AI (face recognition on SOCs), AR/C++ performance engineering, and end-to-end ML productization for e-gaming and healthcare platforms. Comfortable across Python, C++ and embedded devices (Raspberry Pi hobbyist-level fluency), he combines hands-on optimization with CI/CD and Kubeflow-driven deployments. Based in Gurugram, he pairs a solid NIT computer science background with a practical knack for squeezing performance out of constrained systems.
code10 years of coding experience
job6 years of employment as a software developer
bookBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Motilal Nehru National Institute Of Technology
bookHigh School, High School at jawahar navodaya vidyalaya, Varanasi
bookIntermediate Mathematics, Intermediate Mathematics at Little flower house, Varanasi
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Stackoverflow

Stats
41reputation
2kreached
2answers
0questions
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Github Skills (71)

opencv10
image-processing10
deep-learning10
computer-vision10
face-recognition9
object-detection9
python9
machine-learning9
face-detection9
keras9
tensorflow9
mask-rcnn8
ml8
face-alignment8
neural-network8

Programming languages (6)

C++CSSJavaScriptJupyter NotebookRubyPython

Github contributions (5)

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Traffic Sign Classification using Deep Learning. The model architecture is LeNet based Convolutional Neural Network using tensorflow framework, inspired from Udacity's self driving car project.
Contributions:29 commits, 2 PRs, 28 pushes in 1 year 7 months
classificationconvolutional-neural-networksdeep-learningself-driving-cartensorflow
Contributions:33 pushes, 3 branches, 2 issues in 2 years 8 months
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