I'm a third-year Information Technology student passionate about building practical tools and exploring the intersection of full-stack development and machine learning.
I'm currently focused on:
- Building scalable, full-stack applications with React, Next.js, and Node.js.
- Applying Deep Learning (PyTorch) to real-world problems, specifically in medical imaging analysis.
- Creating useful developer tools and contributing to open-source projects.
- Languages: Python, JavaScript, TypeScript, Java, C++
- Frontend: React, Next.js, HTML/CSS, TailwindCSS
- Backend: Node.js, Express.js
- Databases & ORMs: MongoDB, PostgreSQL, Prisma, Mongoose
- Machine Learning: PyTorch
- Tools: Git, GitHub, npm, Docker
- Chaos Middleware: An npm package to help frontend developers test edge cases by simulating network latency and server errors.
- Alzheimer's Detection System: A deep learning model using PyTorch and ResNet50 to classify the severity of Alzheimer's from MRI scans with over 99% accuracy.
- TimeSync: A full-stack scheduling application with Google Calendar and G-Meet integration.
- LinkedIn: linkedin.com/in/gourav-chandra
- Email: gouravchandra935@gmail.com
- Twitter x.com/gauravnetes
Fun fact: My username @gauravnetes was inspired by Kubernetes ;)


