Bhaumik Vaidya - Vice President at Citi

Bhaumik Vaidya

Vice President at Citi

Old Toronto, Ontario, Canada

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Summary

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Senior

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Top School

Bhaumik Vaidya is a data science and machine learning leader with 8+ years of experience building and deploying production-grade AI systems across healthcare, renewable energy, retail, and finance. Currently a Vice President at Citi, he has a PhD-focused background in computer vision and hands-on expertise in CUDA-accelerated OpenCV and TensorFlow, contributing performance-focused GPU kernels to a well-regarded PacktPublishing repository. He’s led end-to-end projects from data collection through model retraining and cloud deployment, delivering measurable business impact—such as a GAN-driven virtual try-on that boosted conversions by 15% and image-segmentation work that increased product sales by 25%. Comfortable leading cross-functional teams and mentoring junior engineers, he combines academic rigor with practical software development skills (Docker, REST APIs, AWS) and a knack for optimizing both model accuracy and cost.

8 years of coding experience

11 years of employment as a software developer

Master of Engineering - MEng, VLSI and Embedded Systems, Master of Engineering - MEng, VLSI and Embedded Systems at Gujarat Technological University

Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering at Dharmsinh Desai Institute of Technology

PGDBA, Finance, General, PGDBA, Finance, General at Symbiosis Center of Distance Learning

Hindi, English, Gujarati

Stackoverflow

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Github Skills (6)

cuda10

gpu-programming10

c-language10

cprogramming-language10

opencv9

computer-vision9

Programming languages (1)

C++

Github contributions (5)

PacktPublishing/Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA

May 2018 - Sep 2018

Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt

Role in this project:

Back-end Developer

Contributions:26 commits, 23 pushes in 4 months

Contributions summary:Bhaumik primarily contributes CUDA-accelerated code for computer vision tasks. The commits demonstrate the implementation of CUDA kernels for fundamental operations like vector addition, squaring numbers, and matrix multiplication. Additional contributions involve exploring the use of shared memory, constant memory, texture memory, and streams for performance optimization. The user also works on histogram calculations.

cudahands-onvisiongpuhands

PacktPublishing/Hands-On-Deep-Learning-with-TensorFlow-Lite

Jun 2019 - Jul 2019

Contributions:5 commits, 5 pushes in 1 month

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