Brendan Capuzzo

• Developed a Swift package for the Intune iOS Mobile Application Management (MAM) SDK
• Conducted thorough iOS testing of app protection policies to ensure security compliance and multi-library support
• Integrated Swift packages into build and release pipelines for binary framework distribution to app partners
• Leveraged Swift Package Manager, Apple Developer Documentation, and Xcode to optimize package dependency

• Supported the data management team in improving data security through encryption, monitoring, and analysis efforts
• Applied analytical skills to identify and address vulnerabilities in consumer data practices, ensuring data privacy
• Engaged in learning and professional growth by pursuing additional technical experience in Salesforce CRM

• Executed in an Agile environment with embedded software systems and performed bench testing on processors
• Utilized object-oriented programming and data structures to implement software designs with UML diagrams
• Collaborated on a team project which featured the design of a smart home lighting and shading system

• Proficient: C++, Python, Swift, Java
• Familiar: JavaScript, SQL, HTML/CSS

• Web Development: React, Node.js, Express, MongoDB
• Mobile Development: iOS Development, SwiftUI, UIKit
• Developer Tools: Git, GitHub, VS Code, Xcode

• Development: Agile Methodologies, Test-Driven Development
• Tools: Jira, Confluence, Docker, Azure DevOps
• Soft Skills: Technical Leadership, Project Management, Cross-functional Collaboration

• Concentration: Artificial Intelligence, Machine Learning, & Data
• GPA: 3.95
• Coursework: Cryptography and Network Security, Distributed Systems and Algorithms, Graph Theory, Data Science, Software Design and Documentation, Mobile AI Explainability, Sense Making and Computation

• Minor: Economics of Banking and Finance
• Concentrations: Theory, Algorithms, & Mathematics and Artificial Intelligence & Data
• GPA: 3.70
• Accomplishments: magna cum laude, Dean’s Honor List (7 semesters), RPI Medal Award (June 2019)
• Coursework: Database Systems, Programming Languages, Design and Analysis of Algorithms, Machine Learning and Optimization, Intro to Artificial Intelligence, Signals and Systems, Intro to Electronics, Operating Systems, Principles of Software, Electric Circuits, Data Structures, Computer Architecture & Networks, Computer Components & Operations, Embedded Control, Intro to Engineering Design, Engineering Communications & CAD, Modeling & Analysis of Uncertainty

Master’s Research Project, Dr. Oshani Seneviratne

• Developed an AI explainability component for Punya, an MIT App Inventor extension
• Modified the AI reasoner component in Punya to generate human-readable explanations for AI-driven decisions
• Enhanced AI transparency and trust on mobile platforms by improving the interpretability of AI models, ensuring that non-expert users can easily comprehend, trust, and interact with the AI’s reasoning
• Collaborated with a team to optimize the responsiveness and user understanding of reasoner outcomes through the evaluation of explainability methods

Software Design and Documentation, Fall 2024, Professor John Sturman

• Developed a full-stack web application using the MERN stack (MongoDB, Express, React, Node.js), building a responsive frontend in React for real-time group decision-making on restaurant selection
• Integrated Google Places API for restaurant data retrieval with a ranking algorithm that optimizes group preferences for cuisine, price, rating, and location
• Implemented a swipe-based matching algorithm with WebSocket sessions for live group matching results
• Led a cross-functional team using Agile methodologies, managing milestones with Jira, version control with GitHub, and deploying a scalable backend on MongoDB

Multidisciplinary Capstone Design, Fall 2023, Dr. Dennis Shelden

• Coordinated the enhancement of a low-code Smart Dormitory project which featured an IoT network of ESP32 devices with sensors connected through Arduino IDE and data visualizations powered by Node-RED
• Integrated JavaScript and SQL to optimize query generation for MySQL database in order to efficiently retrieve historical sensor data and display on a website dashboard through graphs, charts, and heat maps
• Executed strong project management skills through enhancements and coordinating the team’s focus on scalability, energy efficiency, and security for students, building maintenance, and developers

Introduction to Engineering Design, Summer 2022, Dr. George Lee

• Followed the engineering design process with a team of six students to develop a functional prototype for a SMART Pregnancy Band which featured a back-supporting band with medical sensors and mobile app compatibility
• Led the team by working on the user interface subsystem by developing a mobile app that was built using MIT App Inventor 2 and intended to be used by pregnant women to track health data and prevent maternal deaths
• The app featured nine screens with navigation bar and Bluetooth compatibility which was outlined in wireframe flow

Electric Circuits, Spring 2022, Dr. Shayla Sawyer

• Developed an Astro AutoTint electric circuit project in a team of three students that used a photoresistor to detect harmful light levels and adjust the shading of an electrochromic glass that could help astronauts in space
• Utilized LTspice to create circuit schematics and Microsoft Word to develop a project manual demonstrating circuit concepts such as voltage followers, summers, comparators, inverting amplifiers, differentiators, and filters
• Built and tested physical circuits using a breadboard, wires, operational amplifiers, power lines, and AC power

• Honors: George M. Baker Memorial Award (Apr 2024)
• Positions: Facilities Manager (Apr 2024 – Dec 2024), Scholarship Chairman (Apr 2023 – Dec 2023), Vice President / Risk Management Chairman (Dec 2022 – Apr 2023)