Dhananjay Tiwari

Dhananjay Tiwari is an aspiring Machine Learning Engineer currently pursuing a Bachelor of Technology in Information Technology at Netaji Subhas University of Technology, with an expected graduation in 2027. He has gained practical experience through an internship at DRDO and participation in the Amazon ML Summer School, demonstrating a strong foundation in deep learning and data science.

He actively contributes to the open-source community as a participant in GirlScript Summer of Code and showcases his skills through various personal projects. Notably, he developed a deep learning pipeline for breast cancer detection using U-Net, achieving significant accuracy improvements, and has worked on projects involving stock market prediction, churn prediction, and COVID-19 analysis. github+2

Dhananjay also engages in academic research, co-authoring papers such as "Parametrized Multi-Agent Routing via Deep Attention Models" and "Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time," indicating a commitment to advancing the field of AI and machine learning. arxiv+1

Beyond his technical pursuits, Dhananjay has been involved in student organizations at NSUT, including serving as a Team Member for NSS NSUT CELL, a Member of The Indian Game Theory Society, and an Operations Team Member for Moksha NSUT, highlighting his leadership and organizational skills.