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shubhamgajjar/README.md

Shubham Gajjar

AI/ML · Computer Vision · Natural Language Processing · Biomedical AI

M.S. Artificial Intelligence @ Northeastern University • USA

Website • Email • LinkedIn


About

  • AI Engineer (BigCircle/UPSAAS): built end-to-end Deep Research pipelines (Python + web scraping + LLM summarization + automated reports).
  • Research focus: medical imaging, attention mechanisms, and robust deep learning systems.
  • Currently: M.S. AI at Northeastern (2025–2027).

Featured Work

  • Hybrid ResNet–ViT for Skin Cancer (IEEE, 2025): 96.3% accuracy on HAM10000 (AUC 1.00)
  • VGG16-MCA UNet (Under review): 99.59% accuracy on LGG Brain MRI; ensemble boosted Dice by 3.7%
  • RL Agent for TrackMania (2024): PyTorch IQN agent; 85% track completion; CUDA-accelerated training

Tech & Skills

ML & Deep Learning

Python PyTorch TensorFlow Jupyter

Data & Vision

NumPy Pandas OpenCV Scikit-learn

Web

JS React Next.js Flask Tailwind

Tools

Git Docker Vercel

Links

Website LinkedIn Email

Profile views

Snake animation

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  1. TrackMania-ReinforcementLearning TrackMania-ReinforcementLearning Public

    An Reinforcement Learning AI Agent trained on TrackMania Nation Forever

    Python 9 2

  2. SkinCancer-Hybrid-ResNet-ViT SkinCancer-Hybrid-ResNet-ViT Public

    Official code for ‘A Hybrid ResNet-ViT Architecture for Skin Cancer Classification’ (IEEE AIC 2025).

    Jupyter Notebook 2

  3. vgg16-mca-unet vgg16-mca-unet Public

    VGG16-MCA UNet: whole-tumor segmentation in 2D FLAIR MRI. Code, exact data splits, and training logs.

    Python 2