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Developer

¡Hola 👋🏼, soy Anthony!

I'm a aspiring software engineer based in NYC with a strong background in building scalable web and mobile applications.

About Me

Hi, I'm Anthony Jerez, a self-driven software engineer. My passion lies in designing algorithms and applying my skills to create apps from scratch that solve real-world issues. Throughout my academic journey, I've engaged in a variety of projects, both independently and collaboratively, leveraging my technical proficiency mainly in Python, Swift, JavaScript, and TypeScript. When I'm not building apps, you can find me going on long jogs with my pet pit bull or traveling through the streets of NYC. Future blog coming soon! I'm a strong believer of the phrase 'Hard work beats talent when talent doesn't work hard' and try my hardest to live by life by that statement. I'm also always open to opportunities where I can apply and further develop the skills. Feel free to reach out to me at any time!

Work Experience

Teaching Assistant @ CodePath

May 2024 - Present
Key Responsibilities:
  • Collaborated with industry professionals and instructors to deliver technical interview preparation sessions and assess student readiness on algorithms, data structures, and problem-solving strategies for cohorts of 200+ students
  • Facilitated collaborative LeetCode problem-solving sessions for groups of 5+ students by providing technical support and feedback, contributing to a 28% average improvement in weekly student HackerRank coding assessment scores

Software Engineer Intern @ Miraphoto

June 2025 - Aug 2025
Key Responsibilities:
  • Contributed to the design and development of a cross-platform mobile app using React Native, Expo, and Redux
  • Built and optimized 5 RESTful APIs with Node.js and MongoDB, reducing backend response time by 20%
  • Developed and containerized microservices with Docker and integrated CI/CD pipelines, enhancing system scalability

Software Development Fellow @ CUNY Tech Prep

June 2024 - June 2025
Key Responsibilities:
  • Participated in a competitive, year-long, full-stack web development fellowship that pairs technical and professional coursework, while creating technical projects from design to deployment using tools including React.js, Node.js, Express.js, PostgreSQL, and MongoDB
  • Coached on Git workflows, Agile development, CI/CD, MVC pattern, APIs/Microservices, and testing

BASTA Software Engineer Fellow @ Google

Feb 2025 - May 2025
Key Responsibilities:
  • Selected to participate in a competitive 10-week technical mentorship program led by Google Software Engineers
  • Developed problem-solving and technical communication skills through weekly specialized workshops

AI Research Intern @ Kahrobaei's Research Lab, Queens College

June 2024 - Aug 2024
Key Responsibilities:
  • Analyzed and implemented a post-quantum hash function based on Cayley graphs in Python under Professor Kahrobaei
  • Trained a LSTM model to evaluate pre-image resistance of the hash function, achieving a 94% reduction in exhaustive-search guesses, validating recommendations for larger security parameters
  • Authored and presented research findings to academic peers, faculty, and 3 post-quantum cryptography researchers

Computer Science Tutor @ Queens College

Aug 2023 - May 2024
Key Responsibilities:
  • Designed and delivered personalized lesson plans for 50+ students, focusing on key areas in Computer Science
  • Delivered individualized instruction in courses including intro algorithmic problem-solving, OOP in Java, and data structures
  • Advised students on effective studying approaches, learning techniques, and promoted best coding practices

My Projects

Project 1

QC Commencement

React Native
Expo
TypeScript
Python
FastAPI
LlamaIndex
Chroma
Beautiful Soup
Clerk

Developed an app that scrapes info from official QC web pages, indexes it, and lets users chat with a AI assistant that leverages RAG to get fast, grounded answers on questions regarding commencement/graduation.

Project 1

Car IQ

Swift
SwiftUI
UIKit
Firebase

Developed an iOS application that leverages deep learning and computer vision to detect and recognize cars from images. The user can take a picture of a car or upload one from their gallery, and the app will identify key attributes such as: make, model, and generation.

Project 1

Micro Meter

React Native
Expo
JavaScript
OpenAI GPT-4o
Clerk

Developed a gamified nutrient-tracking mobile app in a team of 4 to help users with nutrient deficiencies manage daily intake goals, leveraging GPT-4o for AI-powered, personalized diet recommendations.

Project 1

Stock Savvy

Python
HTML
CSS
Flask
SQLite
Yahoo Finance API

Developed a website that allows users to manage their individual stock portfolios featuring real-time stock quotes, portfolio tracking, and transaction history.