Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Yamuna Sugumar, a Software Engineer with 2+ years of hands-on experience specializing in computer vision, ML, and AI-driven solutions. I design and optimize advanced image processing algorithms using Python, C++, and CUDA for real-time, high-performance applications, and I bring hands-on expertise in deep learning, data analysis, and visualization to deliver accurate, scalable, production-ready systems. I’ve demonstrated leadership as VP of Operations for the GBC Analytics Club, hosting industry-focused webinars and driving collaborative initiatives. I’m passionate about advancing AI/ML applications in real-world domains.…Hi, I’m Yamuna Sugumar, a Software Engineer with 2+ years of hands-on experience specializing in computer vision, ML, and AI-driven solutions. I design and optimize advanced image processing algorithms using Python, C++, and CUDA for real-time, high-performance applications, and I bring hands-on expertise in deep learning, data analysis, and visualization to deliver accurate, scalable, production-ready systems. I’ve demonstrated leadership as VP of Operations for the GBC Analytics Club, hosting industry-focused webinars and driving collaborative initiatives. I’m passionate about advancing AI/ML applications in real-world domains.

Yamuna Sugumar





Hi, I’m Yamuna Sugumar, a Software Engineer with 2+ years of hands-on experience specializing in computer vision, ML, and AI-driven solutions. I design and optimize advanced image processing algorithms using Python, C++, and CUDA for real-time, high-performance applications, and I bring hands-on expertise in deep learning, data analysis, and visualization to deliver accurate, scalable, production-ready systems. I’ve demonstrated leadership as VP of Operations for the GBC Analytics Club, hosting industry-focused webinars and driving collaborative initiatives. I’m passionate about advancing AI/ML applications in real-world domains.…Hi, I’m Yamuna Sugumar, a Software Engineer with 2+ years of hands-on experience specializing in computer vision, ML, and AI-driven solutions. I design and optimize advanced image processing algorithms using Python, C++, and CUDA for real-time, high-performance applications, and I bring hands-on expertise in deep learning, data analysis, and visualization to deliver accurate, scalable, production-ready systems. I’ve demonstrated leadership as VP of Operations for the GBC Analytics Club, hosting industry-focused webinars and driving collaborative initiatives. I’m passionate about advancing AI/ML applications in real-world domains.

Available to hire

Hi, I’m Yamuna Sugumar, a Software Engineer with 2+ years of hands-on experience specializing in computer vision, ML, and AI-driven solutions. I design and optimize advanced image processing algorithms using Python, C++, and CUDA for real-time, high-performance applications, and I bring hands-on expertise in deep learning, data analysis, and visualization to deliver accurate, scalable, production-ready systems.

I’ve demonstrated leadership as VP of Operations for the GBC Analytics Club, hosting industry-focused webinars and driving collaborative initiatives. I’m passionate about advancing AI/ML applications in real-world domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Tamil

Fluent

Malayalam

Intermediate

Hindi

Beginner

Work Experience

Software Engineer at Yantravision Software Pvt. Ltd.

March 1, 2023 - October 15, 2025

Designed and deployed advanced OpenCV algorithms that improved image registration accuracy to 98%, ensuring consistent print quality and reducing alignment errors. Built end-to-end tools for image alignment, defect detection, localization, and augmentation using Python and C++, enabling more reliable and automated inspection processes. Improved system performance by developing high-efficiency CUDA kernels, cutting processing times from 50+ ms to just 19 ms. Used NVIDIA Nsight and Visual Profiler to identify and resolve bottlenecks, ensuring compliance with real-time performance requirements. Delivered robust, scalable solutions that boosted inspection speed by 45% and increased overall system reliability, supporting high-throughput industrial operations with minimal downtime.