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Summary

Full Stack Developer with hands-on experience building production-style web applications using modern JavaScript frameworks, RESTful APIs, and cloud-ready deployment practices. Comfortable working across the entire stack, from responsive front-end interfaces to backend services and databases. Seeking a role where I can contribute to real-world engineering teams while continuing to grow as a developer.

Experience
Software Engineering Intern
Example Tech Inc.
📅 06/2025 - 08/2025 📍 San Francisco, CA
  • Built and shipped full-stack web features end-to-end using JavaScript, Node.js, and Express.js, integrating with backend databases to power core application functionality
  • Designed responsive, user-friendly interfaces and developed backend services and RESTful APIs for seamless client-server communication
  • Strengthened application security by implementing route-level authorization and authentication safeguards
Education
B.S. Computer Science
Example State University
📅 08/2022 - 05/2026
GPA
3.8 / 4.0
High School Diploma
Example High School
📅 08/2018 - 05/2022
GPA
3.9 / 4.0
Projects
MarketHub – Online Marketplace Platform
📅 2025
  • Architected and built a full-stack marketplace platform on the MERN stack (MongoDB, Express.js, React, Node.js), connecting sellers directly with buyers
  • Designed distinct seller, admin, and buyer user roles to deliver tailored, role-specific experiences and streamline platform interactions
  • Implemented secure authentication and authorization workflows to safeguard user data and maintain platform integrity
  • Built robust product listing and search functionality, enabling sellers to list 100+ products and cutting average search-to-purchase time from 4s to 1.5s
  • Managed the codebase with Git-based version control, maintaining high code quality and efficient collaborative development
Smart Recommendation Engine
📅 2024
  • Designed a scalable monorepo architecture that cleanly separated machine learning, backend, and frontend services, improving modularity and maintainability
  • Built a content-based recommendation algorithm using machine learning techniques, matching 80% of test users to relevant results across a sample of 5,000 profiles
  • Engineered a responsive, intuitive front-end that streamlined the search and browsing experience for users
Skills
Frontend
React.js HTML5 CSS3
Responsive Design
Backend
Node.js Express.js REST APIs
JWT Auth
Database
MongoDB PostgreSQL SQL
Tools & DevOps
Git/GitHub Docker Kubernetes
Linux Postman
Concepts
MERN Stack DSA OOP
Agile/Scrum CI/CD Basics
Machine Learning
Certifications
The Complete Web Developer Bootcamp
Udemy - 03/2025
Containers with Docker, Kubernetes & OpenShift
Coursera - 05/2025
Training / Courses
Modern Web Development with TypeScript
Edureka - Current
Languages
English
Native
Spanish
Highly Proficient
French
Fluent (B2)
Awards
🏆 Dean's List Honoree
Recognized for academic excellence for 4 consecutive semesters