Headline

Intern @AU Bank | DSA(JAVA) | IEEE Published Researcher | Chitkara University, Punjab

About

Aakriti Shory is a curious developer who enjoys building practical web and AI/ML solutions using stacks like Next.js, React, and MERN. She’s currently learning Data Science to improve how she understands and works with data in real projects. She cleared the first round of SIH 2024 with a DRL-based agriculture solution and has published AI, ML, and Deep Learning papers under IEEE, indexed on Google Scholar and Scopus. Aakriti likes solving clear problems, learning new tools, and working on projects that make sense in the real world. Happy to connect with you! 📩 Email: aakritishory15@gmail.com

Location

Jalandhar

Work experience

Graduate Engineering Trainee at AU SMALL FINANCE BANK, Jan 2026 - Present · 6 mos, Jaipur, Rajasthan, India

Author at IEEE, Apr 2024 - Present · 2 yrs 3 mos, Hybrid, Authored the paper titled "Deep Learning Architectures for Alzheimer's Disease Classification Using Convolutional Neural Networks," published on IEEE. The research involved developing and testing various CNN models to improve the classification accuracy of Alzheimer's Disease from brain scans. Responsibilities included data preprocessing, model training, and performance evaluation. This project provided hands-on experience with advanced deep learning techniques and their applications in medical imaging. The work is indexed on Google Scholar, and the profile is available on Scopus.

Education

Bachelor of Technology - BTech, Computer Science, Chitkara University

Innocent Heart College of Education, Green Model Town, Jalandhar