About me

I’m Rutwik Patel, a Master of Computer Science candidate at the University of Southern California’s Viterbi School of Engineering, where I’ve maintained a 3.83 GPA while focusing on algorithms, database systems, web technologies, and machine learning.

In my current role as a Full Stack Developer Intern at World Salon, I collaborate with cross-functional teams to design and deliver end-to-end features that enhance the user experience and streamline core workflows. Simultaneously, as a Research Assistant at the USC Marshall School of Business, I apply data-driven methods to extract actionable insights from large volumes of sustainability and financial reports, helping inform strategic decisions.

I thrive at the intersection of research and product development, driven by a passion for transforming complex problems into elegant, user-centric solutions. Outside of my day-to-day work, I enjoy staying curious about emerging technologies in AI. My goal is to leverage both my academic foundation and hands-on experience to build software that makes a tangible impact.

What i'm doing

  • design icon

    Web Development

    High-quality development of sites at the professional level.

  • Web development icon

    Software Development

    High-quality development and Scripting at the professional level.

  • mobile app icon

    Mobile apps

    Professional development of applications for iOS.

Resume

Experience

  1. World Salon, New York, USA

    Full Stack Developer Intern

    July 2024 - Present

    - Led end-to-end development of business portal, admin portal, and event creation flow using the MERN stack, managing the implementation of 15+ key features and improving web application performance by up to 60%
    - Integrated a secure Stripe payment system and Airmeet platform, enabling 20+ paid virtual events and increasing user engagement by 40% while streamlining the end-to-end event registration flow
    - Built and integrated 30+ RESTful APIs in collaboration with backend teams, optimizing data flow and contributing to a 35% improvement in UI responsiveness and deploying the application on AWS S3 and CloudFront

  2. USC Marshall School of Business, Los Angeles, USA

    Research Assistant

    February 2024 - May 2025

    - Scraped 10 years of SP1500 sustainability reports, then used python and OpenAI prompt engineering to extract energy transition insights from 15,000+ PDFs, boosting processing efficiency by 70% using multi-threading
    - Automated data extraction from Orbis DB using Selenium, retrieving shareholder reports from 1.8M+ companies and reducing manual collection time by over 85%

  3. Smart Consultant, Mumbai, India

    Software Development Engineer (SDE) Intern

    May 2022 - July 2022

    - Designed and implemented 10+ core features for an management platform for a client, leveraging Python, Django, Angular, AWS EC2, and SQL-based databases to ensure seamless integration and support 1,000+ daily transactions
    - Improved web application performance by 40% using Docker, AWS S3 and optimization techniques including caching with AWS S3, database indexing, lazy loading, and GZIP compression

Education

  1. University of Southern California

    Masters of Computer Science

    August 2023 - May 2025*

    Developed advanced technical expertise in algorithms, database systems, and web technologies while enhancing problem-solving skills and innovation. Engaged in collaborative projects and research that strengthened my ability to work in teams, communicate effectively, and apply theoretical knowledge to real-world challenges.

  2. Dwarkadas J. Sanghvi College of Engineering, Mumbai University

    Bachelor of Technology in Information Technology

    August 2019 - May 2023

    Gained a solid foundation in operating systems, machine learning, software engineering, and computer networks. Simultaneously honed my social interaction skills, networking abilities, and self-confidence, fostering a well-rounded engineering education.

Skills

Programming Languages

    Tools and Frameworks

      Machine Learning

        Publication

        Contact

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