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vaibhavshiroorkar/README.md

Hey, I'm Vaibhav Shiroorkar

Software Engineer who loves turning messy real-world problems into clean, scalable systems.

Website LeetCode

A Little About Me

I'm a final-year Electronics & Computer Engineering student at K.J. Somaiya College of Engineering, with a focus on Machine Learning.

Most of my time goes into building backend systems that actually work at scale, whether that's a fraud detection engine that needs sub-100ms responses or a pipeline crunching weather data to predict disease outbreaks. I like writing code that solves real problems, not just homework assignments.

When I'm not coding, I'm probably on LeetCode or researching a new side project I'll definitely finish this time.

What I Work With

Languages

Python JavaScript

AI & Machine Learning

Scikit-Learn Pandas NumPy LangChain

Backend & Databases

Node.js FastAPI Flask PostgreSQL Redis

Frontend

React HTML5 CSS3

DevOps & Tools

Docker Git VS Code

Things I've Built

💳 PaySentry

Real-time payment fraud detection.
Think of it as a watchdog for financial transactions. It scores payments in under 100ms using XGBoost, and has a compliance AI layer built on RAG pipelines so it can reason about regulations and not just flag numbers.

🔍 Deepfake Detection

Spotting manipulated media before it spreads.
A computer vision pipeline that tears through video frame-by-frame with OpenCV, hunting for the subtle facial artifacts that give deepfakes away. The detection model is served via FastAPI for real-time analysis.

🏥 Disease Prediction System

Predicting outbreaks before they happen.
My final year project and the one that won 1st prize. It connects the dots between weather patterns and disease outbreaks using Random Forest & Gradient Boosting, giving health officials a heads-up before things get bad.

🖥️ PCEase

Custom PC building, minus the headaches.
A marketplace that handles the annoying part of building a PC, will this RAM work with that motherboard? PCEase figures out compatibility for you with dynamic component matching and live inventory tracking.

🛡️ SilverGuard

Protecting people from scams in real time.
A mobile app that watches your screen and listens to calls to catch scam attempts as they happen. The heavy lifting runs through n8n automation workflows and a Python backend, all wrapped in a clean Flutter UI.

📊 Fintrack

Making sense of where your money actually goes.
A financial analytics dashboard that auto-categorizes your spending and turns raw transaction data into visual insights you can actually act on. Built for people who want clarity, not spreadsheets.

DSA Progress

Let's connect, I'm always up for interesting conversations and collaborations.

Email LinkedIn

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  1. disease-prediction-system disease-prediction-system Public

    A web-based machine learning application that predicts potential diseases based on user-reported symptoms using supervised classification models, deployed with an interactive frontend and a RESTful…

    JavaScript

  2. pcease pcease Public

    PCEase is a PC building website made to simplify the lives of fellow enthusiasts.

    JavaScript