Computer Science graduate specializing in AI/ML, Python, data analytics, and data engineering
Computer Science and Engineering graduate specializing in AI/ML with hands-on web development internship experience and project work in data processing, computer vision, and machine learning.
Twilearn
Feb 2025-May 2025
Engineered front-end and back-end features using HTML, CSS, and JavaScript; designed and managed the application database schema using SQL; integrated third-party APIs to fetch and process external data for the Smart Community Management System.
Bachelor of Technology, Computer Science and Engineering (AI&ML)
2020-2024
CGPA: 7.24. Relevant coursework: Object-Oriented Programming, Operating Systems, DBMS, Theory of Computation, and NLP.
Engineered a data processing pipeline for time-series accelerometer data to classify human activities. Implemented time-series analysis and classification algorithms using Python and Scikit-Learn, and optimized the pipeline for a 20% improvement in movement detection efficiency. Technologies: Python, TensorFlow, Scikit-Learn.
Developed a real-time image processing system to interpret and translate American Sign Language gestures from live video streams. Built and trained a CNN using TensorFlow and OpenCV and achieved 97% accuracy in gesture recognition. Technologies: Python, TensorFlow, OpenCV, CNNs.
Engineered a real-time gesture recognition pipeline to control a computer cursor using live video input. Used Python, OpenCV, and MediaPipe for hand tracking and cursor-action translation, achieving a 25% improvement in cursor movement speed and responsiveness.