Resume

Computer Science & Data Science Student

Rudra Patel

Bachelor of Arts in Computer Science and Data Science — Rutgers University • Expected 2027. Based in New Brunswick, NJ. US Citizen.

About

Hey there! I'm Rudra Patel, a Computer Science and Data Science student at Rutgers University, passionate about building intelligent systems and exploring the intersection of software engineering, data, and AI.

I enjoy working on projects that combine data-driven insights with scalable engineering, whether it's through designing clean front-end experiences or developing models that uncover meaningful trends from complex datasets.

Current Focus

  • Exploring LLM fine-tuning, RAG pipelines, and multimodal AI applications.
  • Gaining hands-on experience with data science workflows – from data wrangling and visualization to predictive modeling using Python (pandas, scikit-learn, PyTorch).
  • Deepening my understanding of web technologies like React, Node.js, and Next.js to create dynamic, responsive interfaces.
  • Experimenting with cloud tooling for deploying and scaling ML-backed web applications.

Projects & Interests

Some things I love building:

  • Data dashboards that transform raw numbers into clear stories.
  • AI-driven features for web apps using APIs like OpenAI and Hugging Face.
  • Chrome extensions or tools that improve productivity or learning.

You can find highlights of my technical work in my pinned repositories!

Outside of the <main>

When I'm not writing code, you'll probably find me:

Sports & Anime

Warriors fan. Watching or playing basketball, or volleyball. Catching up on anime (especially Demon Slayer, One Piece*, and Black Clover).

* fully caught up to One Piece

Learning & Research

Reading books that blend science, psychology, and creativity. Tracking the latest in AI advancements, from state-of-the-art transformer architectures to emerging trends in agentic systems and AI alignment research.

Recent Recommendations:

  • Artificial Intelligence: A Modern Approach
  • The Alignment Problem: Machine Learning and Human Values
  • Life 3.0: Being Human in the Age of Artificial Intelligence
  • The Singularity Is Nearer: When We Merge with AI

Experience

Software Engineering Intern

Jun 2025 – Sep 2025

United Window and Door • Springfield, NJ

  • Built a shipping route unlock tool using Node.js and MSSQL that efficiently enables the logistics process and mitigates bottlenecks in the supply chain process.
  • Created an automated file-checker using Nodemailer to notify staff members of discrepancies instead of verifying by hand, resulting in drastically reduced time.
  • Developed and integrated a dynamic template system on the website that allows teams to better organize and share schedules.

Software Engineering Intern

Jun 2024 – Sep 2024

United Window and Door • Springfield, NJ

  • Created a live sales dashboard using Next.js and Chart.js, providing daily performance statistics for 2000 clients and sales reps.
  • Upgraded the company’s internal website with updated, efficient features to improve user experience and speed of business operations.
  • Collaborated with sales and operations staff on designing tools that improved workflows and reduced manual tasks.
  • Utilized Git for version control and version releases to ensure consistency and site uptime.

Technology + Engineering Lead

Apr 2022 – Nov 2024

Wheels For All (Non-Profit) • North Brunswick, NJ

  • Designed and prototyped 3D-printable components for bicycles in Onshape by modifying an open-source model to reduce cost for the organization.
  • Developed an inventory tracker with Google Apps Script and Supabase, providing real-time tracking of parts and repairs for volunteers.
  • Automated onboarding for donors and recipients via Typeform and Zapier to facilitate fast eligibility checks and improved response times.

Skills

Languages

JavaPythonC/C++SQL (Postgres)JavaScriptHTML/CSSR

Frameworks

FlaskFastAPIJUnit

Developer Tools

GitDockerTravisCIIntelliJEclipse

Libraries

ReactNode.jspandasNumPyMatplotlibMaterial-UI

Projects

SkillSync

SkillSync

Jan 2025 – Feb 2025

A responsive web app that provides brief lessons on stock market basics for beginner investors/students. Utilized Chart.js for rendering real-time and historical stock data through interactive graphs. Developed user authentication using JWT and MongoDB for safe tracking of user study progress and tailored learning experiences.

MERNMongoDBExpress.jsReact.jsNode.jsChart.js
Brain Tumor MRI Detection Tool

Brain Tumor MRI Detection Tool

ML Project

Created an end-to-end structured neural network that takes 2D MRI scans of glioma, meningioma, pituitary tumors, and healthy brains. Performed pre-processing steps like resizing, labeling, shuffling, and splitting data for training/testing. Developed and trained a multilayer CNN for 4-class tumor classification, achieving 91.15–93.38% accuracy.

TensorFlow/KerasNumPyPandasMatplotlibSeabornscikit-learn
Reccs

Reccs

In Production

In Production

A cross-platform mobile application for personalized recommendations spanning categories such as media, food, and lifestyle. Implemented Firebase Authentication, Firestore and Cloud functions for secure user data, real-time updates and scalable backend. Built custom categories, group chats and creator channels with React Native Navigation and Redux Toolkit. Currently in production and will be released soon.

React NativeExpoFirebaseRedux Toolkit
Coming Soon
SamuraiFocus

SamuraiFocus

Chrome Extension

Developed a productivity Chrome extension that includes a customizable Pomodoro timer and task manager. Incorporated Chrome Storage API for permanent session storage and Web Audio API for ambient soundscapes to promote increased focus. Employed CSS for custom theming and a personalized user experience.

JavaScriptChrome Storage APIWeb Audio APIHTML/CSS

Contact

Best way to reach me is email. I’m always open to internships and interesting builds.