About Me
Hi, my name is Harsh Patel! I have a BS in Computer Science from the University of California, Riverside, which provided me with a strong foundation in software development. I am skilled in creating and enhancing web applications, and I've recently worked with backend technologies like Python (Flask), Java (Spring Boot), and Go (Gingonic). I am passionate about backend development, particularly working with APIs, algorithms, and data structures, which is my forte.
I am also growing in frontend development using the React library with TypeScript and JavaScript. Receiving data from APIs on the frontend and designing the best way to showcase it is fascinating to me. It's exciting to bring data to life through visually appealing user interfaces using libraries(MUI, NextUI, TailwindUI).
Something interesting I've been improving is my skill with Docker. I enjoy containerizing services for development, which streamlines the workflow. I'm a fast-paced learner with strong dedication to completing tasks and features for projects efficiently.
Education History
- 2014
Attended James Logan High School (JLHS)
- 2018
Graduated from JLHS and went to Ohlone Community College
- 2021
Transferred to University of California, Riverside
- 2023
Graduated with a Bachelor's of Science in Computer Science @ UCR
Skills
Programming Languages
C++
Advanced
Python
Intermediate
Javascript
Advanced
Java
Intermediate
Go
Intermediate
Frameworks & Libraries
React
Advanced
Next.js
Advanced
Node.js
Intermediate
Vite.js
Intermediate
Python Flask
Advanced
Python Pandas
Advanced
Java SpringBoot
Advanced
Bootstrap
Intermediate
Flutter
Beginner
Databases, Tools & OS
PostgreSQL
Advanced
MongoDB
Intermediate
AWS
Beginner
Google Firebase
Beginner
Docker
Intermediate
Git
Advanced
Postman
Intermediate
Jest
Beginner
Jira
Intermediate
Windows
Advanced
Linux
Advanced
PenguinPal Email AI Assistant
Repository LinkPenguinPal is an AI-powered email management system that streamlines email content into concise summaries, categorizes, and prioritizes inboxes. Developed during a hackathon, the project expanded from 2 to 5 developers, overcoming challenges like team coordination and data privacy. In the prototype we used React and Python to build an MVP in 24 hours. Future plans include refining AI algorithms, expanding beta testing, and developing email client integrations.
Movie Suggestion Application
Repository LinkDeveloped a full-stack web application that generates personalized movie suggestions based on user interests and viewing history. Leveraging Python and Flask, we implemented an unsupervised learning algorithm capable of delivering 25 recommendations in under one second.
Carnest: Full-Service Car Buying and Selling Platform
Repository LinkCarnest is a comprehensive solution designed to simplify the car buying and selling experience. It provides hassle-free pick-up and drop-off, manages negotiations and paperwork, and guarantees quick and secure transactions. Built using Node.js and Material UI (MUI), Carnest delivers an efficient, user-friendly service for consumers.
Start-Up Link
...Coming Soon...