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Full-Stack Developer - JavaScript & Java Expert

Location:
Hoffman Estates, IL
Posted:
December 19, 2025

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Resume:

Pragya Kansal

Hoffman Estates, IL. • ***************@*****.*** • +1-847-***-**** • LinkedIn • GitHub OBJECTIVE

Full-Stack Developer skilled in Java, JavaScript, React, Node.js, and Spring Boot, with experience building scalable web applications and delivering measurable impact through optimized user experiences, performance improvements, and data-driven design. EDUCATION

DePaul University, Chicago, IL. Master of Science in Computer Science 01/25 - Current Loyola University Chicago, Chicago, IL. Bachelor of Science in Software Engineering 08/19 - 12/2023 SKILLS

Languages: Java, JavaScript, TypeScript, SQL, Python, C Databases: MongoDB, PostgreSQL, MySQL Frontend: React.js, Angular, Redux, Next.js, jQuery, HTML, CSS Backend: Spring Boot, Node.js PROFESSIONAL EXPERIENCE

Knead Full Stack Web Developer Intern – Gainesville, Florida 07/2025 - Present

• Improved platform reliability and user experience by enabling quota-based backtesting of trading strategies with subscription tiers

(Free, Pro, Unlimited), including seamless plan changes; built using Node.js, Express.js, TypeScript, and MySQL.

• Enhanced trading strategy efficiency by 30%, empowering users to optimize strategies before committing real capital.

• Enabled data-driven decision making by building a React dashboard to visualize backtest results (status, equity curves, trades, performance metrics, quota usage), allowing users to measure strategy effectiveness against historical data. In The Loop Frontend Web Developer Intern – New York, NY 07/2023 - 11/2023

• Improved product listing visibility and SEO by implementing a customizable ‘Categories’ feature in React, enabling clients to classify their products more effectively, streamline listing creation, and increase discoverability on third-party marketplaces.

• Boosted website traffic by 20% through redesigning the platform’s core feature, allowing clients to upload clothing images and receive AI-generated product listings (type, size, color, brand, measurements, etc.), eliminating the need for manual data entry.

• Accelerated user onboarding and improved usability by simplifying a complex image-tagging workflow with a tutorial-based interface to guide users through uploading and annotating clothing images. PROJECTS

AI-Powered Resume Optimizer & Job App Tracker Spring Boot, React, Redux, PostgreSQL GitHub 06/2025 - Present

• Developed and secured RESTful APIs using Spring Boot to handle job application workflows, resume uploads, AI analysis, and user authentication with role-based access, laying the foundation for a production-ready job management platform.

• Engineered a scalable PostgreSQL schema with JPA/Hibernate, incorporating robust entity relationships, validations, and exception handling to ensure reliability and long-term maintainability.

• Integrated OpenAI API to provide resume feedback and skills-gap analysis, helping users align applications with job descriptions and improve their chances of landing interviews.

Real Estate System Java, Spring Boot, Thymeleaf, MySQL GitHub 04/2025 - 06/2025

• Developed a role-based real-estate web application enabling Admins, Buyers, and Agents to access personalized dashboards, improving usability and reducing the complexity of managing property listings.

• Implemented secure authentication and authorization with Spring Security and JWTs, configuring custom login endpoints, role- based access control, and token validation filters to restrict access to protected resources.

• Designed and tested RESTful APIs with Postman for user management, image uploads, and property listings; integrated MySQL with JPA/Hibernate to support efficient property searches and reduce query response times. Travel Itinerary Applications (Mobile & Web) JavaScript, React Native, Node.js, MongoDB GitHub 09/2022 - 12/2023

• Engineered both mobile and web versions of a travel itinerary app with 5+ core features, including destination search, activity recommendations, custom itineraries, profile management, and group activity coordination.

• Utilized Node.js and MongoDB to implement secure user authentication and role-based authorization with scalable data storage, ensuring smooth cross-platform performance, enhanced data integrity, and a reliable user experience.

• Integrated Google Places API and Travel Advisor API to deliver detailed destination information; tested with 15+ users, resulting in a 20% increase in user satisfaction by the final iteration.



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