Hi, I’m Sanya

FullStack Developer and AI/ML researcher building scalable, modern, and user-friendly web applications.

const developer = {
  name: "Sanya Kaushik",
  role: "FullStack Developer",
  stack: ["React", "Next.js", "AWS", "AI/ML"],
  location: "Fullerton, CA"
};

INTRODUCTION

Overview.

I’m a Full Stack Developer and AI/ML Researcher currently pursuing my Master’s in Computer Engineering at California State University, Fullerton. I specialize in building scalable web applications, AI-based systems, and modern cloud-native solutions using React, Next.js, TypeScript, Python, TensorFlow, AWS, and Firebase.

Full Stack Developer

Frontend Developer

Backend Developer

AI/ML Engineer

Tech Stack.

React.js
Next.js
TypeScript
Node.js
Python
TensorFlow
AWS
Firebase
Tailwind CSS
MongoDB
PostgreSQL
FastAPI
OpenCV
GitHub Actions

WHAT I HAVE DONE SO FAR

Work Experience.

Software Developer Intern

Classplus

Jul 2023 – Oct 2023

  • Reduced app launch time by 40% by building a drag-and-drop UI builder using Next.js, React hooks, and reusableccomponents.
  • Increased engagement by 25% by developing a drip marketing system handling 10K+ daily campaigns using Node.js, cron jobs, and analytics pipelines.
  • Improved deployment reliability to 99% by migrating from Webpack to Vite and implementing CI/CD pipelines using GitHub Actions.
  • Enhanced release efficiency by delivering scalable, fault-tolerant systems through cross-team collaboration using modern full-stack practices.

Technical Intern

Classplus

Jan 2023 – Jul 2023

  • Saved 160+ staff-hours/month and cut operational costs by 70% by automating manual data scraping using Python,Selenium, BeautifulSoup, SQL, and Shell scripting
  • Increased data processing throughput by building parallelized ingestion pipelines and AWS EC2 scaling workflows to resolve runtime bottlenecks.
  • Improved data accuracy by 15% by developing validation and cleaning scripts in Python/SQL, ensuring consistency across multi-source workflows.
  • Saved $85K+ annually by engineering a scalable analytics infrastructure that automated and unified data pipelines

Full-Stack Graduate Researcher

CSUF

Jan 2026 – May 2026

  • Built a university-wide research platform using React, Node.js, and REST APIs to improve equipment visibility and access across departments for faculty, students, and research teams across the campus.
  • Developed scalable React UIs to streamline research discovery and enable efficient navigation for faculty, students, and interdisciplinary research teams across multiple departments.
  • Implemented backend services using Node.js and REST architecture to support reliable cross-department data workflows, integration, and system-level scalability across distributed research environments
  • Delivered a centralized web platform to standardize research presentation and showcase high-value equipment across departments

MY WORK

Projects.

These projects showcase my skills in full-stack development, AI/ML, cloud deployment, research systems, and modern user interface design.

Breast Cancer Detection

Breast Cancer Detection

AI-powered breast cancer detection using thermal imaging, CNNs, ensemble learning, and Grad-CAM explainability.

#Python#TensorFlow#Grad-CAM
CSUF Research Equipment Website

CSUF Research Equipment Website

Searchable research equipment inventory platform for CSUF College of Engineering and Computer Science.

#Next.js#Tailwind#React
Human-AI Agency Platform

Human-AI Agency Platform

A full-stack system to model human-AI decision workflows and interaction patterns.

#React#JavaScript#Python#FastAPI

GET IN TOUCH

Contact.

I’m open to software engineering, full-stack development, AI/ML, and research-based opportunities.

Say Hello