Anish Patel

I build things that work.

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About

Hi! I am a student at the University of North Carolina at Chapel Hill double majoring in Computer Science and Statistics and Analytics. I have a passion for software engineering, doing research, and building meaningful projects. I enjoy working across the stack, from designing backend systems and APIs to building data pipelines and integrating machine learning models. Most of my work is centered around solving practical problems, whether that is improving system performance, analyzing real-world data, or creating tools that are actually useful outside of a classroom setting.

Outside of class, I spend a lot of time staying active and competitive. I play football and chess, train boxing, and probably spend more time than I should on Rocket League.I like building things that actually work, figuring out hard problems, and getting better every time I sit down to code.

Tech Stack

Python

Java

JavaScript

TypeScript

React

Node.js

SQL

AWS

Docker

Git

HTML

CSS

Swift

PyTorch

Featured Experiences

2026

apexanalytix

Application Development Intern

May – Aug 2026 · Greensboro, NC

Built a QA automation suite in Python and Playwright, cutting a 2 hour manual regression cycle to 17 minutes, an ~85% reduction
Adapted the framework across 5 Fortune 500 client portals, extending coverage to distinct enterprise environments
Scaled the tooling to 200+ employees, standardizing test execution across teams

2025

Sports Media Inc.

Software Engineering Intern

Jun – Aug 2025 · Remote

Built a token based authentication system in Python and Java that increased login success by 30% and reduced reported issues by 25%
Cut page load times by 1.2 seconds by optimizing API calls and shipping mobile first updates across the platform
Deployed features to over 5,000 accounts working with a team of 5 engineers in Agile sprints

2023

NC A&T State University

Research Intern

Aug 2023 – May 2024 · Greensboro, NC

Achieved 95% classification accuracy detecting CAN bus cyberattacks across 5 ML models including Random Forest, KNN, SVM, and Isolation Forest
Boosted detection performance by 20% through feature engineering and cross validation pipelines
Co authored a peer reviewed paper presented at the 2024 icABCD Conference on automotive cybersecurity

UNC School of Dentistry

Computer Support Technician

90% first contact resolution rate across 150 plus faculty, staff, and students
Reduced new user downtime by 35% by completing 100 plus hardware and software setups
Led onboarding sessions for 50+ users on personal and university issued devices

Featured Projects

Praxis

AI native incident response pipeline that auto triages server crashes and drafts its own fixes.

Node.js and Express backend with a React and Vite frontend
Google Vertex AI agents analyze logs and auto generate GitLab patch and rollback merge requests
Human in the loop Slack approval flow enabling one click deployment
Cut simulated mean time to recovery

KarvBill

AI medical bill auditor. End to end pipeline that ingests itemized bills and surfaces pricing anomalies, duplicate charges, and overbilling.

Built with Python, AWS Textract, Pandas, scikit learn
Hosted on AWS Elastic Beanstalk with S3 backed storage
Combines ML based and rule driven validation checks
Handles multiple claim formats end to end

SideLine

Real time NBA analytics dashboard. Aggregates live game data and betting odds across 3 plus APIs and surfaces favorable prop bet opportunities.

Built with React, Node.js, WebSockets, Python, PostgreSQL
Python pipeline normalizes data across 1,200 plus games
Prop bet screener cross references live performance against book lines
Tracks line movement in real time

CodeScan

Full stack AI code review tool. Analyzes code via the OpenAI API and surfaces bugs, security issues, and style improvements across 10 plus languages.

Built with Python, Flask, React, OpenAI API
REST API backend with structured feedback rendering
Syntax highlighted input across 10 plus languages
Real time analysis on submission

FairShare

Full stack platform that calculates optimized payment splits across any group size. Eliminates manual balance tracking with an O(n) debt resolution algorithm.

Built with React, Node.js, Express, REST APIs
O(n) debt resolution algorithm for instant payment splits
Modular React interface with 10 plus reusable components
Standardized UI consistency across all devices

SyncBoard

Real time collaborative task management platform. Reduced sync latency from seconds to milliseconds for concurrent users with WebSocket based updates.

Built with React, Node.js, WebSockets, Google Calendar API
Real time updates across collaborative task management
Google Calendar API integration syncs 100 percent of deadlines
5 plus core collaboration features including shared notes