Open to opportunities

Vraj Modi

@vrajmodi

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AI researcher specializing in deep learning and computer vision.

India

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What I'm looking for

I seek a role that fosters innovation in AI, encourages collaboration, and offers opportunities for professional growth.

I am an AI researcher with a strong foundation in deep learning and Python, specializing in computer vision, particularly in medical data analysis and object detection. My expertise lies in designing and building custom deep learning models tailored to real-world healthcare applications. I combine technical skills with practical insights to deliver impactful solutions.

Currently, I am pursuing my M.Tech in Computer Science at the National Institute of Technology Goa, where I lead research on automated X-ray and medical image analysis. My project, ORTHOX-AI, has achieved an impressive 95.78% segmentation accuracy, automating angle calculations for thousands of images. I have also streamlined diagnostic workflows, significantly improving efficiency in medical imaging tasks.

In addition to my academic pursuits, I have developed various AI systems, including a real-time cricket analytics system using YOLO-based deep learning models. My unique perspective as an independent stock market investor enriches my analytical approach across domains, allowing me to tackle complex problems with innovative solutions.

Experience

Work history, roles, and key accomplishments

Current

AI Automation Student Research Intern

Current

National Institute of Technology Goa

May 2024 - Present (1 year 1 month)

Pursued M.Tech in Computer Science with a focus on deep learning and medical image analysis, leading research on X-ray deformity detection using AI. Achieved 95.78% segmentation accuracy and automated angle calculations for 2,000 images, streamlining diagnostic workflows by reducing manual effort by 90%. Built a custom UNet model using PyTorch for deformity detection and collaborated with orthoped

U Net Deep Learning AI UNet PyTorch Segmentation Workflow Automation Research Python

Freelance ComputerVision Engineer

Confidentials

Mar 2025 - Present (3 months)

Created a real-time cricket analytics system using OpenCV and 3 YOLO models, achieving 88% detection accuracy on 1,500 frames. Integrated 7 Python modules for visual performance analysis, enhancing the system's capabilities.

Computer Vision OpenCV YOLO Deep Learning Python Performance Analysis AI Systems

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Goa

Master of Technology, Computer Science & Engineering

Activities and societies: Attended MIND 2024, engaging with IIT/NIT professors and gaining insights into deep learning research and its medical applications.

Pursuing M.Tech in Computer Science with a focus on deep learning and medical image analysis. Leading research on X-ray deformity detection using AI, achieving 95.78% segmentation accuracy and automating angle calculations for 2,000 images.

Parul University

Bachelor of Technology, Computer Science & Engineering

Studied Computer Science & Engineering, building a strong foundation in the field. Gained practical experience in various aspects of computer science.