Nish Patel is a Software Engineer and Full-Stack Developer based in Norfolk, Virginia, USA. He is currently a Software Engineer at CyberCup.ai and pursuing an M.Sc in Computer Science at Old Dominion University. He specialises in React, Next.js, Node.js, TypeScript, and cloud platforms including AWS and Google Cloud Platform.

What technologies does Nish Patel work with?

Nish works with React, Next.js, TypeScript, Node.js, Express.js, GraphQL, Apollo, PostgreSQL, MongoDB, AWS, and Google Cloud Platform. He has production experience with Docker, Kubernetes, CI/CD pipelines, Redis, and OpenAI/LangChain AI integrations.

Is Nish Patel available for hire?

Yes. Nish Patel is actively available for remote full-time roles, contract work, and freelance projects. Contact him at nishpatel.cse@gmail.com or through the contact form at nishpatel.dev.

Where is Nish Patel located?

Nish Patel is based in Norfolk, Virginia, USA and is open to fully remote positions worldwide.

What has Nish Patel built?

Notable projects include CyberCup.ai — an AI-enhanced cybersecurity training platform supporting 1,000+ concurrent users with P95 latency reduced from 780ms to 430ms; JobNest — an AI-powered job tracker with the NESTAi assistant; and SW Habitation — a developer learning platform with 7,000+ active users.

Where did Nish Patel study?

Nish completed his B.Tech in Computer Engineering at Silver Oak University, India (2025) and is currently pursuing an M.Sc in Computer Science at Old Dominion University, Norfolk, Virginia.

What services does Nish Patel offer?

Nish offers full-stack web application development, frontend engineering with React and Next.js, backend API design, cloud infrastructure on AWS and GCP, AI/LLM integration, DevOps and CI/CD setup, and SEO optimization.

How can I contact Nish Patel?

You can reach Nish Patel by email at nishpatel.cse@gmail.com, through the contact form at nishpatel.dev, on LinkedIn at linkedin.com/in/nishpatel14, or on GitHub at github.com/Git-Nish14.

Nish Patel

I am a Software Engineer based in Virginia, USA, passionate about creating scalable, reliable, and user-friendly applications. I enjoy turning ideas into impactful solutions that blend functionality with great user experience.

Contact Me

My Resume

ABOUT ME

I'm a Software Engineer and Full-Stack Developer with over three years of production experience, currently working at CyberCup.ai and pursuing my M.Sc in Computer Science at Old Dominion University, Norfolk, Virginia. I specialise in building scalable, high-performance web applications using React, Next.js, TypeScript, and Node.js, with cloud deployments on AWS and Google Cloud Platform. From architecting backend systems handling 1,000+ concurrent users to integrating AI capabilities with OpenAI and LangChain, I focus on shipping reliable software that creates measurable impact. I am actively open to full-time roles.

Experience

Software Engineer with over 3 years of experience in software development.

Tech Stack

Python, JavaScript, TypeScript, React.js, Next.js, Node.js, Express.js, PostgreSQL, MongoDB, GCP & AWS.

B.Tech in Computer Engineering

Graduated from Silver Oak University in May 2025.

M.Sc in Computer Science

Pursuing M.Sc. at Old Dominion University (in progress).

Production Ready

Building production-ready apps and deploying secure, high-performance applications.

Passion

Passionate about AI, machine learning, and cloud technologies like GCP and AWS.

Technologies I Work With

Python

Java

HTML5

CSS3

JavaScript

React.js

Next.js

TypeScript

Angular

Vue.js

Node.js

AWS

Google Cloud

Kubernetes

Apollo

GraphQL

PostgreSQL

MySQL

Express js

Prisma

Tailwind CSS

MongoDB

GitHub

Docker

Redis

FastAPI

Python

Java

HTML5

CSS3

JavaScript

React.js

Next.js

TypeScript

Angular

Vue.js

Node.js

AWS

Google Cloud

Kubernetes

Apollo

GraphQL

PostgreSQL

MySQL

Express js

Prisma

Tailwind CSS

MongoDB

GitHub

Docker

Redis

FastAPI

WHERE I'VE WORKED

Software Engineer at CyberCUP.ai

December 2025 – Present

Present

Architected full-stack features across Next.js/React and Node.js/GraphQL (Apollo) in a Turborepo monorepo, integrating OpenAI and HuggingFace LLMs for dynamic challenge generation and AI-powered tutoring; implemented JWT-based RBAC with Google and GitHub OAuth for multi-role authorization.
Optimized PostgreSQL schema via MikroORM — added indexes, eliminated N+1 queries, and tuned GraphQL resolvers, reducing P95 latency from 780ms to 430ms and supporting 1K+ concurrent users across the platform.
Containerized services with Docker and Docker Compose, deployed behind NGINX reverse proxy and Cloudflare for DDoS protection; engineered a per-user isolated CTF container system with dynamic port allocation via the Docker HTTPS API.

Software Engineer Intern at Codage Habitation

December 2024 – June 2025

Deployed serverless data ingestion pipelines via AWS Lambda, API Gateway, and DynamoDB, reducing infrastructure costs by 21% while ensuring auto-scalability and low-latency data flow.
Redesigned GraphQL architecture to eliminate redundant queries, cutting API latency by 37%, improving frontend rendering efficiency, and simplifying React state synchronization.
Refactored backend logic for data ingestion and caching, leading to significant performance gains in API throughput and database query efficiency.
Engineered and deployed FastAPI- and PostgreSQL-based full-stack apps serving over 20K users, boosting scalability and performance by 30% via optimized backend architecture.
Integrated AI capabilities using OpenAI API, LangChain, and Gemini, building modular pipelines and CLI tools that accelerated experimentation and feature delivery.

Software Developer Intern at InsuredHQ

June 2023 – December 2023

Developed and optimized frontend modules using React.js and Node.js, achieving 41% faster page loads and increasing session duration by 25%.
Enhanced project efficiency and reduced turnaround times by leading collaboration between technical and business teams.
Implemented Python-based data cleaning scripts, cutting manual data errors by 30%.
Integrated Google Analytics, real-time tracking APIs, and event-based telemetry to enable data-driven UI/UX optimization, directly influencing customer retention strategies.
Improved code quality and documentation by 50% using Git, GitHub, and Confluence for version control and project management.

WHAT I OFFER

As a Software Engineer, I specialize in developing scalable and high-performance applications across web and cloud platforms. My expertise spans both frontend and backend technologies, including modern frameworks, databases, and cloud services, to deliver seamless and reliable solutions. Whether you need to build a new application, scale existing systems, or optimize performance, I can help turn your ideas into impactful results.

Frontend Development

I build fast, accessible UIs with React and Next.js: server-side rendering, responsive layouts, and performance budgets under 2s FCP. Recent work includes a cybersecurity platform dashboard handling 1,000+ concurrent users and a job-tracking app with real-time analytics charts.

Backend Development

I design server-side systems with Node.js, Express, FastAPI, and GraphQL built to scale. I've reduced API latency by 35% through architecture refactoring, deployed services handling 20,000+ daily users, and maintained 99.9% uptime on AWS with CloudWatch monitoring.

API Development & Integration

I build typed RESTful and GraphQL APIs with full authentication, rate limiting, and documentation. I've designed 20+ endpoint systems for multi-tenant SaaS platforms and integrated third-party services including OpenAI, Stripe, Nodemailer, and Google Analytics.

Cloud Integration & Data Transfer

I deploy and manage cloud infrastructure on AWS and GCP: Lambda functions, API Gateway, DynamoDB, S3, and automated pipelines. I've cut infrastructure costs by 21% while improving auto-scalability and reducing release cycles from weekly to daily via CI/CD.

DevOps & Deployment

I containerise applications with Docker, orchestrate with Kubernetes, and automate delivery with GitHub Actions and AWS CodePipeline. I've maintained 99.9% uptime across production systems while compressing release cycles and implementing zero-downtime deployment strategies.

SEO & AI Visibility

I implement technical SEO, structured data (JSON-LD), Core Web Vitals optimisation, and generative engine optimisation (GEO) for discoverability in ChatGPT, Perplexity, and Gemini. I built and maintain this portfolio to best-practice SEO and AI-visibility standards.

MY LATEST WORK

Welcome to my portfolio! Here you'll find projects that highlight my skills in full-stack software development. From creating intuitive user interfaces to building reliable backend systems, I develop scalable and high-performance applications. I also work with cloud platforms and databases to manage deployment, integration, and performance optimization. Explore my work to see how I turn ideas into impactful solutions.

cybercup.ai

Featured

https://cybercup.aiActive

CyberCup.ai

An AI-enhanced cybersecurity training platform combining traditional CTF challenges with LLM-powered learning, actively developed under the Inspire Center organization with a cross-functional team of 8 engineers.

Next.jsNode.jsGraphQLApolloPostgreSQL+6 more

View Case Study Live

jobnest.nishpatel.dev

https://jobnest.nishpatel.devLive

JobNest

A modern, secure job application tracker to manage your entire job search in one place. Features an AI-powered assistant (NESTAi), application analytics, interview scheduling, and email templates. A Techifive product.

Next.js 16TypeScriptSupabasePostgreSQLTailwind CSS 4+3 more

View Case Study Live

www.swhabitation.com

https://www.swhabitation.comLive

SW Habitation

A developer learning platform with tutorials, tools, and interactive resources used by 7K+ users, featuring insight dashboards and usage tracking.

Next.jsTypeScriptTailwindCSSSSRSEO+1 more

View Case Study Live

github.com

https://github.com/Git-Nish14/virginia-airport-decision-support-toolOpen Source

Aviation Delay Prediction

An end-to-end ML pipeline and decision support system for predicting aviation delays across four major Virginia airports, built with a 3-engineer team processing 10 years of historical data.

Pythonscikit-learnPandasNumPySARIMAX+4 more

View Case Study Live

legalone.vercel.app

https://legalone.vercel.appLive

LegalOne

A web application designed to streamline legal services by providing a platform for users, lawyers, and administrators.

Next.js 15TypeScriptTailwindCSSPrismaMongoDB+3 more

View Case Study Live

View More on Github

CONNECT WITH ME

I'd love to hear from you! Whether you have a question, feedback, or just want to say hello, feel free to reach out using the form below.