About Me
Motivated AI & ML graduate with hands-on experience in Python-based development, machine learning, and enterprise application support. Proven through an ISRO research internship, a defence-sector CC support role, and a patent-published ML project.
Skills & Technologies
Work Experience
Software Engineer – Application Support
Supported enterprise CC applications for the Mobile Repair Station in the Himashakti defence project at Bharat Electronics Limited. Developed CC web applications using Node.js, HTML, CSS, JavaScript, and Oracle Database to monitor workflow health. Assisted in troubleshooting backend workflows and supporting mission-critical defence operations on Linux servers.
Machine Learning Intern
Implemented SRGAN to enhance Sentinel-2A satellite imagery, improving spatial resolution from 20 m to 10 m. Trained GAN models on paired low-resolution/high-resolution image datasets and applied model optimization techniques.
Projects
Early Detection of Parkinson's Disease Using Machine Learning
Designed an ML system to predict Parkinson's disease from biomedical voice measurements using KNN, SVM, Random Forest, and XGBoost; achieved 92.31% accuracy with Random Forest.
Education
B. Tech
CSE (AI & ML)
Intermediate
MPC