BTech CSE’26 || Former Intern DLJ DRDO || Member of Mensa || GGSIPU || GeeksforGeeks(ADGIPS Chapter) || @Zuno Community Captain
Proactive and analytical individual with strong logical reasoning and problem-solving skills, eager to learn, collaborate, and contribute to innovative projects.
GeeksforGeeks ADGIPS Chapter
2 yrs 8 mos · Delhi
Mensa India
4 yrs 5 mos · India
Mensa International
4 yrs 5 mos
Defence Research and Development Organisation (DRDO)
2 mos
Zuno by foundit
1 yr
Defence Laboratory, Jodhpur (DRDO)
06/2025 – 07/2025 · Jodhpur, India
Built an image analysis program to automatically extract and interpret dominant visual features from varied image inputs; implemented analytical modules to study and visualize patterns in extracted data, enhancing the interpretability of visual content.
Bachelor of Technology - BTech, Computer Science
Oct 2022 - Aug 2026
Education
Apr 2009 - Mar 2021
B.Tech, Computer Science Engineering
2026
Member of GeeksforGeeks (ADGIPS Chapter); 8.3 CGPA
12th, PCM
2021
Scored 91.2%
10th
2019
Scored 85.2%
Designed and implemented a custom CNN using Python, TensorFlow, OpenCV, Scikit-learn, and MySQL to classify synthetic facial images. Applied preprocessing and augmentation to improve generalization and reduce overfitting. Achieved 94% training accuracy, 91% validation accuracy, and 91.85% test accuracy, with 0.98 precision for synthetic images and 0.99 recall for genuine faces.
Developed a hybrid recommendation engine using content-based filtering and Multinomial Naive Bayes with Python, Flask, Scikit-learn, and the TMDB API. Built a pipeline combining the TMDB 5000 dataset with scraped Wikipedia records, achieving validated sentiment accuracy of 98.77%.