Badges
Certifications
Work Experience
Python Developer Intern
IBM•  January 2023 - March 2023•  Virtual Internship
Developed a Sign Language Recognition system using CNNs and transfer learning, achieving 99% accuracy and 5% faster inference for real-time recognition. Developed a machine learning model to classify fingerspelling gestures in sign language using depth images, improving accuracy by 8% and reducing preprocessing time by 12%. Created and shared visual presentations detailing technical improvements and project results with stakeholders, emphasizing enhanced accessibility measures that boosted system usability ratings from 4.0 to 4.8 stars.
Education
Oriental Institute of Science and Technology, RGPV University
Bachelor of Technology•  October 2021 - Present•  CGPA: 8.08
DAV Kapildev Public School
Intermediate•  May 2019 - May 2021•  Percentage: 90.2
Christ Church High School
10th•  April 2018 - May 2019•  Percentage: 89