WELCOME TO MY WORLD
Hi, I'm Abhimanyu Dudeja
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MS Computer Science student at Northeastern University, currently a full-stack software engineering co-op at Mob. I build full-stack web apps, retrieval and data pipelines, and apply deep learning to real-world problems. Published ML researcher, with prior internships at Deloitte and Tech Mahindra.
Technical Expertise
Data Engineering
AWS, ETL Pipelines, SQL, Power BI, Data Warehousing
Machine Learning
TensorFlow, Keras, Scikit-learn, OpenCV, Deep Learning
Full Stack Development
React, Node.js, Express, MongoDB, JavaScript
Database Systems
MySQL, PostgreSQL, MongoDB, Query Optimization
Research Highlights
Multi-Stage Brain Tumor Classification Using Deep Neural Networks
ICRTC 2025 | Springer LNNS, vol. 1906
A multi-stage CNN framework for classifying brain MRI scans into four categories (glioma, meningioma, pituitary, no tumor), achieving 97.3% test accuracy through aggressive data augmentation, dropout regularization, and early stopping.
Automatic Detection and Classification of Brain Tumors Using Deep Learning Model
ICNSBT 2025 | Springer LNNS, vol. 1405
A CNN-based model for classifying brain tumors from MRI scans into four categories. Trained on a labeled Kaggle MRI dataset, achieving 98.44% training accuracy and 93.45% test accuracy.