Prashant Sharma

Computer Science graduate with a specialization in Artificial Intelligence and Machine Learning, currently working as a Computer Vision Intern. Experienced in Python, OpenCV, and YOLO-based object detection, with practical exposure to image processing, dataset preparation, and model evaluation.

Computer Vision Intern at Eternal Robotics (2025-10 – Present)

• Worked on a YOLO-based object detection model to identify automotive components from images, assisting in improving detection accuracy through data preparation and testing.
• Worked on model training and evaluation, including dataset preparation, annotation validation, and analyzing performance metrics (precision, recall) to improve detection results

Python Intern at Catalysers Finovate (2024-05 – 2024-06)

• Tested and worked on typing speed test system using Python, enabling real-time text evaluation and improving typing efficiency metrics.
• Worked in collaboration with IT teams to improve system functionalities, leading to a more dependable application.

Bachelor of Technology Science in Computer Science (AI & ML) – Sharda University (2021 – 2025-06)

Higher Secondary Education – St Mary's Public School (2021-07)

Matriculation – St Mary's Public School (2019-07)