Work History
A brief timeline of my experiences and what I've done
Jan. 2024 β Feb. 2024
Easy Dynamics Corp
Software Engineering Intern
Conducted technical documentation and code review for demo projects
Interviewed key stakeholders to analyze the current state of program delivery and documentation
Mapped undocumented code functionality for contract proposal demos using HTML, CSS, and JavaScript
Extended demo functionality for key applications, ensuring smooth transitions between features
Designed custom architecture documentation utilizing aspects of Zachman, TOGAF, 4+1, and C4 frameworks
Feb. 2023 β Present
College Prep Excellence Roadmap Academy
Private STEM & Programming Tutor
Provided personalized tutoring to high school students in programming and STEM subjects
Designed 40+ custom lesson plans tailored to student needs, saving over 20 hours of study material research each month
Communicated complex programming and mathematical concepts with a 100% student satisfaction rate
Adapted learning materials to match each student's learning pace, fostering a better understanding of STEM concepts
May. 2023 β Jul. 2023
First Year Innovation & Research Experience
Design Engineering Research Intern
Contributed to optimizing unmanned underwater robotics propulsion systems
Optimized underwater remote robotic propulsion by 48% using Bayesian optimization techniques
Built and tested nine designs based on parameters selected via Latin hypercube sampling in R
Presented final project to over 100 attendees, including professors and students, at the FIRE research conference
Apr. 2024
Personal Project
BOX β Online Inventory Management System
Developed a web-based inventory management system for small-scale businesses
Designed a user-friendly front-end interface using Material UI, React.js, and Next.js
Implemented real-time tracking of inventory using Firebase server-side functions
Enabled efficient item addition and removal through asynchronous Firebase API calls
Sep. 2024
Personal Project
Handwritten Digit Recognition Neural Network
Created a neural network model for digit recognition using the MNIST dataset
Developed a neural network class with adjustable parameters like node count, learning rate, and activation function
Trained the network to achieve a 96.5% accuracy over 5 epochs using Python and PyTorch
Optimized network performance by 145% using PyTorch and Google Co-Labβs T4 GPU
Aug. 2024
Personal Project
Digital Thermometer Display & Assembly Puzzle
Built a digital thermometer display using C and x86 Assembly for a simulated microcontroller
Developed code to accurately display temperature readings by extracting binary port sensor data
Engineered a dynamic display adjustment mechanism by setting global variables in x86 Assembly
Utilized GNU debugger to troubleshoot and solve complex assembly language puzzles
Aug. 2022 β Present
College Success Scholars
Executive Board Co-Chair & Team Leader
Led student success initiatives to foster academic and professional growth
Presented at student events, engaging over 120 attendees on topics related to academic and career success
Led a team of 25 members to organize 15+ student events, ensuring smooth execution and adherence to deadlines
Developed monthly agendas and coordinated logistics for large-scale student events