Full-Stack Software Engineer with AI Focus

Jeet Patel

510-***-**** Ȱ San Jose, CA, ***** ć **********@*****.*** ] linkedin.com/in/jeet1405 a 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

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

• Finalized a real-time speech recognition system leveraging Flask REST APIs for audio processing, React.js frontend for live transcription, and PostgreSQL for metadata storage, deployed through Docker, cutting latency by 60%.

• Directed AI email assistant using Next.js dashboard, Node.js backend, and Pinecone vector database; integrated semantic search across company emails using LlamaIndex, decreasing email search time by 75% for 200+ employees.

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

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

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

• Collaborated with healthcare team to build patient data management system leveraging React.js frontend, Flask APIs, and PostgreSQL database, automated record validation and alert workflows, handling 1M+ records at 99.9% uptime.

• Built and deployed a credit risk assessment platform using Spring Boot, Angular, and MySQL, implemented unit testing and Git-based versioning within CI/CD pipelines to ensure secure and reliable delivery. Full Stack Engineer Build Formula (Ahmedabad, India) May 2021 – April 2022

• Designed customer analytics dashboard featuring Express.js APIs, React.js frontend, and MongoDB storage, established WebSocket real-time updates, decreasing load time from 5s to 1.5s.

• Implemented personalization platform with Python/Flask, React, and PostgreSQL; optimized user preference indexing to speed up recommendations, reducing page load time by 60%.

• Administered property inspection app powered by Next.js interface, Node.js APIs, and MySQL database, digitized paper-based inspection checklists with photo uploads and automated reporting, optimizing 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, React.js

• Utilized Express.js, MongoDB, and DALL·E API to deliver an AI image generator, integrated Cloudinary and built frontend with React.js, boosting engagement by 30% and reducing latency by 35%. Smart Email Assistant Spring Boot, React, Hibernate, Gemini API

• Delivered an AI email assistant using Spring Boot, Hibernate, and React, employed Gemini API to generate intelligent replies, enabling a 45% reduction in manual response time. AI Mock Interview Platform Next.js, React.js, Node.js, TypeScript, Drizzle ORM, Clerk, Storybook, Playwright

• Oversaw development of a SaaS interview platform using Next.js, TypeScript, and Node.js, scaled secure access with Clerk, built UI with Storybook, and tested flows using Playwright, increasing user retention by 40%.

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