Ayush Yadav — Full-Stack Developer from India

Ayush Yadav

Full-Stack Developer

ayush215mb@gmail.com

Hi, I'm Ayush Yadav, a Full-Stack Developer from 🇮🇳 India.


I design and ship full-stack products end to end. Whether I'm architecting a backend, designing the frontend, or optimizing stateacross 30 screens, I own the work until it works.


You can reach me on Linkedin DMs or Email .

Tech Stack

Technologies I work with

Languages

JavaScript

TypeScript

Python

c++

Frontend

React

React Native

Next js

Tailwind CSS

Expo

Redux Toolkit

React Query

Backend

Node.js

Express

NestJS

Socket.io

Database and Tools

MongoDB

Supabase

PostgreSQL

Git

Docker

Projects

Things I have built

Project Sentinel

- Built a real-time AI governance proxy that intercepts and validates all requests between applications and LLM APIs (Gemini) before they reach the model.


- Engineered a PII detection and redaction engine using Microsoft Presidio capable of identifying and masking 50+ sensitive data types including emails, credit card numbers and API keys.


- Implemented a semantic prompt injection detection system to block jailbreak attempts and system prompt overrides in real time with sub-50ms latency overhead.

Project Sentinel

Parse Spy

- Developed an automated digital forensic tool using Selenium WebDriver to simulate human interaction for high-fidelity data extraction from social mediaplatforms.


- Architected a modular desktop application with an Electron.js frontend and Node.js backend, achieving a 90% reduction in mean processing time compared to manual investigation.


- Engineered an automated reporting module using PDFKit to generate comprehensive forensic reports withembedded screenshots and verified timestamps.


Project Sentinel

Crop Sense

- Developed an IoT-enabled predictive farming platform(Indian Patent: 202531042207 A)that recommends optimal crops based on real-time soil composition, temperature, and humidity sensor data.


- Delivered a responsive farmer-facing UI for location-specific input andpersonalized crop recommendations reducing dependency on manual agronomic consultation.


Project Sentinel

Get in touch

Fill the form or directly dm me on LinkedIn