I’m Avadhut, a student and developer building software for when things go wrong.

Most of my recent work is about disaster response: a command dashboard for an offline mesh network, a serverless relief tracker, and a model that flags failing nodes before they drop.

Selected work

  1. ResQNet Dashboard

    Next.js · TypeScript

    Command dashboard for an offline disaster-response mesh network.

  2. Disaster Relief Resource Tracker

    AWS · Python

    Serverless relief coordination on AWS.

  3. Mesh Failure Prediction

    TensorFlow · Python

    An LSTM that predicts node failure before it happens.

  4. Fraud Prediction Model

    FastAPI · scikit-learn

    Scoring card transactions with logistic regression.

Smaller things

About

I’m a student, learning web development by building things and then finding out why they break.

Most of what I have made so far sits around disaster response: getting reports out of places with no connectivity, tracking where relief supplies are, and predicting which part of a network will fail next. I like software that is small, clear, and honest about what it can’t do.

Languages
Python, TypeScript, JavaScript, Java
Web
Next.js, React, FastAPI, Tailwind CSS
Cloud and data
AWS Lambda, API Gateway, DynamoDB, S3, SQLite, Prisma
Machine learning
TensorFlow, scikit-learn

Contact

avdt.dev@gmail.com

Or find me on GitHub.