TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face • TensorFlow • PyTorch • Keras • Transformers • CNN/ResNet • RNN/LSTM • Vision Transformers • UNet Architectures • FastAPI • Hugging Face •

Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms • Deep Learning • Machine Learning • Neural Networks • Computer Vision • Natural Language Processing • Reinforcement Learning • Evolutionary Algorithms •

Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis • Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Statistical Analysis •

Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research • Academic Writing • Literature Review • Experimental Design • IEEE Publications • Research Methodology • Medical AI Research •

Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training • Reinforcement Learning • Deep Q-Networks • Genetic Algorithms • Game AI Development • Neural Network Training •

OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis • OpenCV • Medical Imaging • Image Segmentation • Object Detection • Image Classification • FLAIR MRI Processing • Dermatoscopic Analysis •

Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab • Jupyter • VSCode • Google Colab •

Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration • Team Leadership • Adaptability • Problem Solving • Communication • Collaboration •

Hi, I'm Shubham Gajjar

AI Researcher & M.S. Artificial Intelligence Student at Northeastern University, exploring deep learning, computer vision, and biomedical imaging.

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About Me

I'm an AI researcher and graduate student at Northeastern University, Interested in advancing deep learning applications in biomedical imaging and computer vision. My work focuses on hybrid neural architectures for tumor segmentation and skin lesion classification, bridging healthcare and AI.

I've published my research on "Hybrid ResNet-ViT for Skin Cancer Classification" at the 4th IEEE World Conference on Applied Intelligence and Computing (AIC 2025), achieving 96.3% accuracy and Area Under Curve of 1.00 across all classes. I've also contributed to research currently under review at Elsevier, focusing on VGG16-MCA UNet for brain tumor segmentation. My work demonstrates state-of-the-art performance in medical image analysis, and I'm currently exploring the integration of deep learning with healthcare and biological imaging as part of my ongoing research journey.

Published at IEEE AIC 2025

96.3% Model Accuracy Achieved

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Technical Skills

Specialized expertise in AI/ML, computer vision, and research methodologies

AI/ML Core

Deep Learning

Machine Learning

Neural Networks

Computer Vision

Natural Language Processing

Reinforcement Learning

Evolutionary Algorithms

Deep Learning Frameworks

TensorFlow

PyTorch

Keras

Transformers

CNN/ResNet

RNN/LSTM

Vision Transformers

UNet Architectures

FastAPI

Hugging Face

Computer Vision

OpenCV

Medical Imaging

Image Segmentation

Object Detection

Image Classification

FLAIR MRI Processing

Dermatoscopic Analysis

Data Science & Analytics

Python

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

Statistical Analysis

Research & Development

Academic Writing

Literature Review

Experimental Design

IEEE Publications

Research Methodology

Medical AI Research

Game AI & RL

Reinforcement Learning

Deep Q-Networks

Genetic Algorithms

Game AI Development

Neural Network Training

Cloud & DevOps

Docker

GitHub Actions

Tools

Jupyter

VSCode

Google Colab

Leadership & Adaptability

Team Leadership

Adaptability

Problem Solving

Communication

Collaboration

Journey

A unified timeline of work experience, research publications, and key projects that shaped my path in AI.

WorkJan 2025 – Aug 2025

ResearchJanuary 2025 – May 2025

ResearchSeptember 2024 – July 2025

ResearchDecember 2023 – April 2025

Projects

Cutting-edge research in medical AI and innovative AI/ML projects showcasing deep learning expertise

AI/ML Core

Completed

TrackMania Reinforcement Learning Agent

Game AI & RL Research

Developed an advanced reinforcement learning agent for TrackMania racing game using Implicit Quantile Networks (IQN). The agent learns optimal racing strategies through trial and error, achieving competitive lap times and demonstrating robust decision-making in unpredictable racing situations.

PythonPyTorchReinforcement LearningImplicit Quantile NetworksNeural NetworksComputer Visiondxcam

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Data Science

Completed

Twitter Sentiment Analysis (NLP Project)

Social Media Analytics

Built a comprehensive sentiment analysis system using Twitter API to analyze public sentiment on various topics. Implements NLP techniques and machine learning models for real-time sentiment classification.

PythonTwitter APINLPMachine LearningPandasNLTKTextBlobGoogle Colab

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AI/ML Core

Completed

Interactive Image Mosaic Generator

Creative AI & Image Processing

Developed an interactive web application for generating artistic image mosaics using vectorized NumPy operations. Built with Gradio for an intuitive user interface, enabling users to create stunning mosaic art from input images through efficient computational image processing techniques.

PythonNumPyGradioImage ProcessingComputer VisionVectorized Operations

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