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Click here or scroll down to respond to this candidate Candidate's Name
PHONE NUMBER AVAILABLE | EMAIL AVAILABLE |LinkedIn| GitHub
EDUCATION
The Pennsylvania State University, University Park Graduation: Spring Street Address
Bachelor of Engineering in Computer Science, Magna Cum Laude
Bachelor of Science in Statistics & Computing, Cum Laude
GPA: 3.92/4.00, Dean s List (all Semesters)
Technical Skills: Python, Java, C, React, TypeScript, JavaScript, CSS, Ionic, C#, XAML, .NET, Rust, Azure, SQL,
Supervised Machine Learning, R, C++, Excel, SAS, MATLAB & NLP
Relevant Coursework: Data Structures and Algorithms, Operating Systems, Object-Oriented Programming, Functional
Programming, Computer Organization and Design, Data Management, Data Science, Applied Statistical Modelling, Machine
Learning, Applied Time Series Analysis, Problem Solving and Communication in Applied Statistics, Statistical Data Science
Leadership Responsibilities: Maxus33 Project Head; School of Rock Assistant Director; Classic Rock Band Team Leader
Interests & Hobbies: Keyboards, Electric Bass, Squash, Frisbee, Programming Sounds, Writing Music, Gigging, & Gaming
Campus Involvements: 2024 THON Pianist, Music Service Club Performer, & Varsity Tutors Teaching Assistant
WORK EXPERIENCE
Maxus33 Omaha, NE
Full-Stack Engineer and Project Head 11/2022 Present
Heading a team of junior developers as project admin in converting MATLAB signal processing and machine learning
library code to C++ and Rust for improved distribution and performance.
Led a 6-member team to develop an image steganography app to encode data within images for secure
communication. Utilized twilio for user authentication and Azure database to proactively query identification and
remediation of errors.
Designed a location mapping and healthcare app to immediately alert emergency professionals of user location and
medical history during emergencies. Implemented geo-location and validated code using NUnit testing.
Mobile Application Developer Intern 04/2022 11/2022
Designed an educational app that enables users to view images based on voice generated commands. Utilized
C# and XAML to convert speech to text and image on iOS and Android platforms.
Utilized Pixabay REST API to retrieve images based on user s speech commands.
Swappify State College, PA
Full-Stack Engineer 12/2023 Present
Leading a team of 10 Full-Stack engineers to develop a token system to monetize the application and increase
the customer base. Streamlining the user shipping process using the UPS API.
Capstone Technical Lead 08/2023 12/2023
Developed a cross-platform clothing mobile app for users to trade clothes in an eco-friendly manner. Utilized
TypeScript and CSS on an Ionic framework. Designed Supabase framework using PostgreSQL database.
Budgeted team finances and ensured efficient allocation of project resources.
TECHNICAL PROJECTS
Only Now Winter 2023
Developed a real-time messaging site allowing users around the world to connect anonymously.
Crafted a dynamic UI with tailwind CSS, featuring intricate animations synchronized with user messages.
Implemented real-time backend functionalities to instantly broadcast user messages as they are typed, emulating
authentic conversations. Developed with TypeScript on the Next.js framework and deployed the site via Vercel.
F-WHY-I Fall 2023
Engineered a user-friendly website delivering daily educational facts accompanied by informative visuals using
Typescript on a React framework. Designed seamless automation through Cron scheduling for full autonomy.
Used NLP to tokenize text & retrieve matching visuals by performing web scraping through various APIs.
Mushroom Classification Fall 2023
Created a deep-learning model to classify whether a mushroom is edible or poisonous by its characteristics.
Utilized a combination of Convolutional and Recurrent neural networks to achieve an accuracy of 92%.
NLP Classifier Spring 2023
Developed a classifier using a combination of Logistic Regression, Na ve Bayes, and SVM models to predict part of
speech on wide ranges of text data with an accuracy of 87%. Evaluated model against 250,000 entries.
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