Suyash Verma
Deep Learning & Machine Learning Engineer (Computer Vision) @Tata Consultancy Services
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WORK HISTORY
Deep Learning & Machine Learning Engineer (Computer Vision) @Tata Consultancy Services
Bengaluru, IN
Developed and trained YOLO-based deep learning models for industrial visual inspection and automated quality assurance, enabling accurate defect detection in real-world production environments.Designed and implemented end-to-end computer vision pipelines using OpenCV, covering data preprocessing, advanced augmentation techniques, annotation strategies, model training, and optimized inference workflows.Applied polygon-based geometric analysis to precisely localize complex components, enabling detection of structural misalignment, shape deviations, and subtle manufacturing defects.Built automated anomaly and error detection systems for both image- and video-based quality monitoring, improving reliability and consistency of inspection processes.Optimized model performance by improving accuracy and reducing inference latency, making solutions suitable for real-time and edge-deployment scenarios.
EDUCATION
Harcourt Butler Technical University
Bachelor of Technology, Information Technology
ABOUT SUYASH VERMA
I am a Deep Learning and Computer Vision professional currently working on an automotive-focused General Motors project at TCS. Since joining this project, I have significantly improved my understanding of how deep learning models are applied in real-world, production-level environments.Working hands-on with YOLO and OpenCV has strengthened my skills in object detection, video analytics, and end-to-end pipeline development. I have progressed from experimenting with models to building optimized solutions for practical use cases such as traffic analysis, vehicle detection, and automatic number plate recognition in moving videos.This project has also helped me improve my problem-solving approach, code structuring, and performance optimization skills. I now have a deeper understanding of data preparation, augmentation strategies, model evaluation, and inference efficiency, especially for real-time applications.Along with technical growth, I have developed better communication and documentation skills by collaborating with team members and explaining technical concepts clearly. I am continuously learning advanced deep learning techniques and aim to build scalable, reliable AI systems that create real-world impact.I am open to learning, collaboration, and opportunities in Deep Learning, Computer Vision, and applied AI.
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