Stack Engineer React Js

Jeet Patel

510-***-**** Redmond, WA **********@*****.*** linkedin.com/in/jeet1405 github.com/jeetpatel1405 Education

California State University, East Bay Master of Computer Science (GPA: 3.8) 2023 - 2025 Gujarat Technological University, Ahmedabad, India Bachelor of Computer Engineering (GPA: 3.6) 2019 - 2023 Professional Experience

AI Full Stack Engineer Oct 2024 – Present (Kwaai AI Research Lab) Los Angeles, CA

• Built a real-time speech recognition system with Flask REST APIs for audio processing, React.js frontend for live transcription, and PostgreSQL for metadata storage, deployed via Docker, reducing latency by 60%.

• Developed AI email assistant with Next.js dashboard, Node.js backend, and Pinecone vector database, implemented semantic search across company emails using LlamaIndex reducing email search time by 75% for 200+ employees.

• Built newsletter publishing platform using TypeScript, React.js interface, and Node.js microservices with Claude API integration, implemented MySQL content management and AWS RDS scaling, reducing manual effort by 80%. Software Engineer May 2022 – May 2023 (Infopercept Consulting Pvt Ltd) Ahmedabad, India

• Built fraud detection system with Spring Boot backend, MongoDB storage, and REST APIs for real-time scoring, processed 50K+ daily transactions reducing detection time by 50%.

• Built e-commerce platform with Django/PostgreSQL backend, React frontend, and AWS EC2/S3 deployment; implemented Redis caching and query optimization for 1000+ products, achieving 25% faster page loads.

• Built patient data management system with React.js frontend, Flask APIs, and PostgreSQL database with automated record validation and alerts, handling 1M+ records at 99.9% uptime.

• Built credit assessment platform with Java Spring Boot APIs, Angular frontend, and MySQL database, created officer dashboard with risk calculation tools and deployed using Docker, improving review efficiency by 45%. Full Stack Engineer May 2021 – April 2022 (Build Formula) Ahmedabad, India

• Built customer analytics dashboard with Express.js APIs, React.js frontend, and MongoDB storage, implemented WebSocket real-time updates reducing load time from 5s to 1.5s.

• Built personalization platform with Python/Flask backend, React frontend, and PostgreSQL database, implemented user preference storage with database indexing on user recommendations, reducing page load time by 60%.

• Developed property inspection app with Next.js interface, Node.js APIs, and MySQL database; digitized paper-based inspection checklists with photo uploads and automated reporting, reducing inspection documentation time by 75%. Technical Skills

Programming Languages: JavaScript, Python, Java, C++, SQL, HTML5, CSS3, TypeScript, Bash Frontend Technologies: React.js, Next.js, Angular, HTML5, CSS3, JavaScript (ES6+), Chart.js, Responsive Web Design Backend Technologies: Node.js, Express.js, Django, Flask, Spring Boot, REST API, GraphQL API, Hibernate, Drizzle ORM Databases: MongoDB, PostgreSQL, MySQL, AWS RDS, Redis, Pinecone Cloud & DevOps: AWS (EC2, S3, RDS), Docker, Kubernetes, CI/CD Pipelines, Git, Terraform AI/ML & APIs: OpenAI API, DALL·E API, Claude API, Gemini API, LlamaIndex Real-time & Integration: WebSocket, Cloudinary, Mongoose, GitHub Actions Development Practices: Full Stack Architecture, Microservices, API Design, Performance Optimization, Object-Oriented Programming (OOP), Data Structures & Algorithms

Tools & Testing: Docker, Git, Visual Studio Code, IntelliJ IDEA, Storybook, Playwright, Clerk Auth Projects

AI Art Generator Web App Javascript, Node.js, Express.js, MongoDB, OpenAI, Cloudinary, Next.js

• Built an AI image generation platform using Express, Mongoose, DALL·E API, Cloudinary, and Next.js; boosted engagement by 30% and reduced latency by 35%.

Smart Email Assistant Spring Boot, React, Hibernate, Gemini API

• Built a full-stack AI email assistant with Spring Boot, React, and Google’s Gemini API, reducing manual email response time by 45% via a browser extension with intelligent reply generation. AI Mock Interview Platform NextJS, ReactJS, Node.js, Typescript,Drizzle ORM

• Built a scalable full-stack SaaS app with Next.js, React, TypeScript, and Node.js, boosting engagement by 40% through secure auth (Clerk), Drizzle ORM APIs, Storybook UI, and Playwright testing.

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