DHCP Administration & Microsoft Azure
Tech used: Microsoft Azure, Windows Server 2025, DHCP, TCP/IP, DNS
Configured a Windows Server 2025 DHCP environment in Microsoft Azure to model IP allocation across three network segments. Created /24 scopes with address pools, exclusions, lease durations, DHCP options, and a phone reservation, then verified the configuration in DHCP Manager.
Active Directory & Microsoft Azure
Tech used: Microsoft Azure, Windows Server 2025, AD DS, DNS, GPO, PowerShell
Built a small Windows domain environment in Microsoft Azure using two Windows Server 2025 virtual machines. Configured Active Directory Domain Services, DNS, organizational units, users, security groups, password policies, delegated Helpdesk password-reset permissions, and joined a client VM to the domain. Documented and resolved a domain-join failure caused by mismatched Azure virtual networks.
Lightning Mathematics
Tech used: Python, SymPy, Docker, PostgreSQL
Developed a desktop application that graphs user-inputted single-variable, polar, and parametric expressions, rendering them as animated lightning using midpoint displacement, vector mathematics, and simplex noise.
Emotion Movie Recommender (NLP)
Tech used: Python, Django, pandas, scikit-learn, HuggingFace, transformers, Google Colab (for testing)
Developed an emotion analyzer/tone analyzer that utilizes NLP techniques to read user emotion and to find movies that best matches the user's current emotion that they inputted.
Amazon Wilson Score
Tech used: Python, Django, Matplotlib, SQLite, Scrapy, NumPy
Developed a web-based application using Python and the Django framework that analyzes up to 30 Amazon product URLs simultaneously which then applies the Wilson Score interval formula to calculate the “product positive outcome” with 95% confidence.
Algo Fitness App
Tech used: JavaScript, React Native, HTML, CSS, Bootstrap
Created a Fitness App to generate personalized recipes for any level of exercise using React Native and JavaScript, which led to increased user engagement and satisfaction. This app uses an algorithm that determines the best meals/recipes for the user based on their stats provided.
Infinite Ice Cream Tracker
Tech used: Python, Django, SQLite, Scrapy, Requests, Heroku
Engineered a Python-based web scraping application using Django framework to monitor and update daily flavor inventory from a local ice cream shop; reduced manual update time by 90%. Scrapy bot runs on scheduled intervals and updates automatically. The *magnum opus* of this project is the bot's code.
Endless Shadows
Tech used: Unity 2D, C#
Developed a mobile app on Android that is an Endless Runner. Implemeneted several functions that increases the difficulty, enemies, and projectiles as the score gets higher. Created the art, music, and animation by myself.