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sanvishukla/README.md

💫 About Me:

Hi, I’m Sanvi!
I’m a final-year Computer Science undergraduate who enjoys building ML systems that work on real data and real constraints.

Most of my work sits at the intersection of machine learning, decision systems, and real-world deployment. I’ve worked as a research intern at the University of New Brunswick (Mitacs) and IIT Gandhinagar, where I focused on combining transformers, reinforcement learning, and practical pipelines. One of my projects on accessibility in mobile systems was published at India HCI 2025.


💡 What I Enjoy Working On

  • Machine Learning systems that go beyond offline evaluation
  • AI for real-world and high-impact use cases
  • End-to-end systems (model → pipeline → deployment)
  • Full-stack + mobile apps that integrate ML meaningfully

⚡ Highlights

  • Published at India HCI 2025 (AI accessibility systems)
  • Mitacs GRA (Canada) — worked on ML systems for real-world datasets
  • Amazon ML Summer School — selected in 2024 & 2025

🤝 Let’s Connect

I’m always open to collaborating on interesting problems — especially ones that involve ML, systems, and real-world impact.


🌐 Socials:

LinkedIn email

💻 Tech Stack:

C C++ CSS3 Dart HTML5 JavaScript Python PowerShell Anaconda Flask Flutter NPM NodeJS React Vite Firebase MongoDB MySQL NumPy Pandas Plotly PyTorch Scipy scikit-learn Matplotlib Keras GitHub Actions GitHub Git Unity

📊 GitHub Stats:



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  1. HAIx-Lab/HintQT5 HAIx-Lab/HintQT5 Public

    Repository for the paper: "Adaptive Text Inputs: Contextual Hint-Text Generation for Enhancing Mobile Apps Accessibility using Text-to-Text Transformer Language Models and Q-learning"

    Python 1