MaKayla Ortega
Junior Software Engineer
****.******@*****.*** 801-***-**** West Palm Beach, FL LinkedIn GitHub TECHNICAL SKILLS
Programming Languages: Java, C, C++, Python, JavaScript, TypeScript, Swift Front-End Development: React, jQuery, Bootstrap, CSS, HTML Back-End Development: Node.js, Flask, SQL, RESTful API Tools & Platforms: Git, GitHub, JSON
Relevant Coursework: Data Structures & Algorithms, Design & Analysis Efficient Algorithms, Database Management Systems, Object-Oriented Design, Intro to Artificial Intelligence, Computation & Formal Systems, Computer Organization EDUCATION & CERTIFICATES
BA, Computer Science University of Rochester Aug 2023 AA, Business Programming De Anza College Mar 2021 UX Design Program General Assembly San Francisco Nov 2017 COLLEGE PROJECTS
Mobile Applications
Health Tracker Swift Full-Stack Aug 2023
Developed an iOS app using Core Data for health journaling, with customizable accessibility options and local notifications for medication and activity reminders.
NewDigz Swift Full-Stack Aug 2023
Built an iOS rental app with MapKit integration, Core Data for data management, and a photo gallery for property listings. Memez Swift Full-Stack Jul 2023
Created an iOS meme generator featuring a randomized engine for captions and images, with meme count tracking. Web Applications
E-commerce Website Python Full-Stack May 2023 Designed and developed a user-authenticated e-commerce site with cart features and scalable database management using Flask- SQLAlchemy and JSON.
Community Board Website Python Full-Stack Mar 2023 Designed and developed a community board site with event registration, user authentication, and real-time messaging using Flask and Bootstrap.
Climate Watch (Chrome Extension) Java Project Manager, UX Design, Front-End Oct 2022 - Dec 2022 Led the design and development of a Chrome extension detecting climate misinformation, managing UX design, data collection, user testing, and coordinating with a cross-functional team. WORK EXPERIENCE
Extern Webacy Web3 Security Data Analytics Externship Sept 2024 - Oct 2024
§ Contributed to a cohort-wide dataset of 1,000+ smart contract vulnerabilities by collecting, analyzing, and labeling contracts independently, and peer-validating additional data points for accuracy.
§ Performed in-depth analysis and visualizations on the full dataset, using Python, Excel, and Tableau to identify vulnerability trends and correlations across all submitted data.
§ Conducted frequency and correlation analysis of risk tags to uncover prevalent vulnerabilities and associations, enhancing understanding of security risks in blockchain.
§ Applied unsupervised machine learning techniques to conduct cluster analysis, revealing patterns in contract vulnerabilities for effective risk profiling.