
Dark Soul
@darksoul
I build computer vision and full-stack web applications.
What I'm looking for
I've built an Automatic Number Plate Recognition system at the Defence Research and Development Organisation (DRDO), using YOLOv8, OpenCV, EasyOCR, and Python for vehicle detection, license plate localization, and text recognition.
I developed the end-to-end computer vision pipeline, including dataset annotation, preprocessing, augmentation, object detection model training, evaluation, and performance analysis with PyTorch, NumPy, Pandas, and Scikit-learn.
I've also created Keycraft, a responsive touch-typing application with real-time WPM, accuracy, error tracking, timer-based assessments, and instant feedback through JavaScript DOM manipulation.
For ExamEase, I built a full-stack platform that helps teachers generate customized question papers and supports students with dyslexia, integrating the Grok API, database storage, responsive interfaces, and backend services.
Experience
Work history, roles, and key accomplishments
Research Intern
Defence Research and Development Organisation (DRDO)
Jun 2026 - Jul 2026 (1 month)
Developed an Automatic Number Plate Recognition (ANPR) system using YOLOv8, OpenCV, EasyOCR, and Python. Built an end-to-end Computer Vision pipeline for vehicle detection, license plate localization, text extraction, and recognition.
Education
Degrees, certifications, and relevant coursework
MBM University
Bachelor of Engineering, Computer Science and Engineering
2024 -
Grade: 8.91 CGPA
Pursuing a Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.91.
Kendriya Vidyalaya Jodhpur
Class XII (CBSE), Science
2022 - 2023
Grade: 87%
Completed Class XII (CBSE) with a percentage of 87%.
Availability
Location
Authorized to work in
Job categories
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