Hello there.
I am Dhiraj Kushwaha.

Software Developer.

Resume

My recent projects:

UTO

NextJs | GSAP

Neumind 80Z App

Flutter | NextJs | Django | PostGreSQL | Redis | Deployed on AWS EC2 | Electron.Js

IIIT Kota Alumni Cell Admin Portal

React | Express | MongoDB | NodeJs

Another Idea Productions

NextJs | GSAP

TykePe

ReactJs | GSAP

My Professional Experience:

Software DeveloperMeta Integrate 360 Media LLP

June 2025 – Dec 2025 · Remote (Mumbai, India)

Worked as a full-stack developer building cross-platform mobile apps and modern web applications. Contributed to end-to-end feature development, API integration, and high-performance UI animations using GSAP and Three.js.

Full-Stack DeveloperFreelance

2022 – Present · Freelancer.in

Engineered scalable full-stack systems with real-time features, secure APIs, and production-ready architectures. Built animation-rich user interfaces using modern web technologies and performance-optimized frontend stacks.

Full-Stack DeveloperIIIT Kota Alumni Cell

June 2025 – Present

Led, deployed, and actively maintain the end-to-end development of IIIT Kota’s official Alumni Cell platform, including secure authentication, admin dashboards, file uploads, and a scalable backend architecture.

Technologies I can help you with:

Next.js

React

Express

Node.js

MongoDB

PostgreSQL

Redis

Drizzle

Prisma

tRPC

REST APIs

JWT

OAuth2

WebSockets

Flutter

React Native

GSAP

Three.js

Locomotive Scroll

WebGL

Motion Timelines

Docker

Kubernetes

CI/CD

AWS

GitHub Actions

Achievements & Hackathon Wins

InnoHacks 2.0 — NSUT Delhi (Innovision’25)

🥈 1st Runner Up · National-Level Hackathon ·125+ teams, 500+ participants

Built an AI-powered public service feedback analytics platform, focusing on real-time issue prioritization, sentiment analysis, and scalable backend processing under strict hackathon timelines.

View Certificate

ML Codefest — IIT Jodhpur (Prometeo 2026)

🥈 2nd Place · 518+ teams · FinTech Track

Designed a machine learning–driven financial analytics system combining market data, sentiment signals, and predictive models to evaluate short-term stock movement trends.