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Current graduate student studying Cybersecurity & Information Assurance with a specialization in Network Security.
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General Motors
Android Developer
June 28, 2026 – Present
CIS-589-Final-Project
May 1, 2026 – Present
Final project idea that I worked on for CIS 589 based on the idea of facial recognition
View ProjectFitness-AI-Agent
February 10, 2026 – Present
This repo contains an AI Fitness Agent which our group worked on for CIS 579.
View ProjectSocket_Programming
November 26, 2024 – May 17, 2025
Repo to house the socket programming assignments I completed for Network Security Class
View ProjectAndroid-Sensors-Project
April 2, 2024 – April 2, 2024
Project written for an Android App Development class. Intended to demonstrate the usage of accelerometer, light sensor, and changes to those two sensors.
View ProjectJan-Michael-Ponti.github.io
April 15, 2023 – April 15, 2023
Jan-Michael-Ponti.github.io — GitHub repository
View Projectsenior-design-ui
May 2, 2022 – October 12, 2022
Web application for senior design project - Developing downloading software that eliminates the need for malware detection without compromising security
View Projectmugwump_mania
February 5, 2022 – October 5, 2022
A short Flutter program that introduces how to use widgets
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of technologies and interests, including web development, AI, and network security, in addition to mobile development. While this indicates a broad technical curiosity, the depth in Android-specific projects is limited to a few personal projects. The single professional experience listed is as an 'Android Developer' at General Motors, which aligns with the target role, but it is a future start date, indicating no current professional experience in the role. This suggests a potential fit for roles that value adaptability and learning, but might require more focused experience for a senior Android developer position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.