My name is Kush Patel. I am a passionate programmer, visionary, and Data Science Master's student at UC Berkeley. I first started programming on Scratch when I was 9 years old, and published my first Apple application on the App Store at 12 years old.
I have skills and experience in a variety of programming languages including Python, Java, Swift, SwiftUI, Objective C, C++, and SQL. I also have a lot of experience in cybersecurity, Selenium, and knowledge about a variety of libraries in the mentioned languages.
As a team-player, I am an effective, efficient, and articulate leader. My analytical prowess combined with my unmatched problem-solving capacity makes me a valuable keystone in any group project. As the founder of two companies, my experience in working with other people has developed to the point where once a goal and team communication has been established, nothing is unachievable. I push myself to the absolute limit every day, and I find comfort in discomfort.
Ever since I could remember, I've used technology to solve problems. The most recent example that comes to mind is an automatic class registration tool that I wrote last year in Selenium and Chromium Web Driver (Java) to automatically sign up for my classes at UC Berkeley when the enrollment period started. The source code for this project is on my GitHub.
Feel free to check out some of my projects on GitHub, connect with me on LinkedIn, or email me if you'd like to chat!
● Design and maintain RESTful APIs in Python (Flask) supporting compliance and licensing workflows used by state stakeholders.
● Optimize PostgreSQL queries and indexing strategies, reducing average endpoint response time by ~20%.
● Build and maintain data ingestion pipelines for structured and semi-structured reporting and anomaly detection.
● Containerize services using Docker and implement CI/CD workflows to streamline deployments.
● Develop internal dashboards and analytics views to surface fraud and compliance metrics.
● Analyzed structured datasets using Python (Pandas) to identify patterns and reporting inconsistencies.
● Built regression-based models to evaluate drivers of anomalous reporting trends.
● Automated recurring Excel-based reporting processes, reducing manual effort and errors.
● Presented statistical findings to senior staff with clear, actionable insights.
● Developed and maintained full-stack features using React and Python for internal case management systems.
● Built data validation and transformation logic to ensure integrity across multiple government data sources.
● Implemented authentication and role-based access controls to strengthen application security and compliance.
● Participated in code reviews and refactoring efforts to improve maintainability.
● Developed and deployed iOS applications focused on performance, usability, and scalable backend integration.<
● Worked with Twilio and Replit to create TextJournal, a mental-health application that utilizes the smartphone’s built-in SMS function and cloud computing to record the user’s thoughts and feelings for that day.
● This application epitomizes practical usage of REST API, Python, SQL database manipulation.
● Personal project made in Java created to utilize mass social media analysis (specifically Twitter) and algorithmic trading with intent of succeeding in the stock market
● In progress of being back tested with historical market data to gauge accuracy
● Personal project made in Objective-C
● Includes the 100 most commonly used phrases in every language, as well as phonetic pronunciations in English, to make communication with locals extremely simple when abroad!
● Being updated to republish on iOS App Store!
● Personal project made in SwiftUI
● Calculates an estimated house price based on a house's surrounding neighborhood prices, in proportion to the size of the house in square feet
● Personal project made in Java with SpigotAPI, made with over 19,000 lines of code
● Minecraft Battle Royale PvP gamemode plugin
● Includes custom World generation, over 70 custom kits, configurable fightable Robot AIs with different levels of difficulty and kits, random Feasts, and a versatile Forcefield system
● Uses cosine similarity to create semantic vectors and compare each other in natural text, to calculate similarity of any two words
● Can be configured to automatically download large text files from Project Gutenberg, to improve text recognition
● Simulates TOEFL word-similarity problems, can accurately guess which word is most similar to inputted word after being fed large sums of text data
● Uses Instagram login credentials and AWS EC2 server to update a user's bio every x minutes
● Planned to be turned into a subscription service for Instagram influencers
● Frequency of quote updates, quote types, and bio updates are all configurable
● Uses pattern matching algorithm to find the best emoji for any randomly selected quote for a bio
When I'm not programming or learning, I like to hike, sing, play chess, game, garden, make art, and weightlift. Just last year I climbed Mission Peak in Fremont, at a peak altitude of 2,517 feet!
I also act (look forward to my newest film, Double Major), and make music! Below is a link to my Spotify and Apple Music artist page, look forward to more uploads in the future!
I also enjoy pushing the limits of cybersecurity in everyday life; I like to look at systems in place and see how possible it would be to exploit it. I am skilled at RFID manipulation, security analysis, and using my knowledge of vulnerabilities in software to gain an advantage (but not maliciously! :))