Srikanth Tatapudi

I've built an Employee Burnout Analysis Prediction Model during my AI/ML internship at Edunet Foundation, achieving 90%+ accuracy. Working with IBM SkillsBuild and APSSDC, I delivered AI/ML solutions that improved operational efficiency by 40% and reduced false positives by 25% through optimized data pipelines and feature engineering.

I developed a Smart Library Management System using JavaScript, NodeJS, ExpressJS, and MongoDB, with real-time seat tracking, reservation, seminar scheduling, and rack management for 500+ users. The platform reduced average resource allocation time by 25%.

I've also developed a real-time object detection system using Python, MobileNet-SSD, OpenCV, and Caffe, achieving 72.7 mAP accuracy on VOC0712 benchmarks while improving image and video analysis throughput.

I'm a B.Tech student in Artificial Intelligence and Machine Learning with hands-on skills in Java, Python, SQL, REST APIs, backend development, databases, debugging, data structures, and algorithms. I've earned 5-star HackerRank badges in Java and Python and solved 200+ coding challenges on LeetCode and CodeChef.