Welcome!
I'm Joey Parlamenti, a Full-Stack Web Developer based in Manhattan, New York.
About me
Web Developer | Project Management
Ever since my older brother introduced me to the GBA, I've had a deep passion for games. Fascination with puzzles and problem-solving games, I've always been obsessed with discovering the most optimal sequences for winning. This passion for efficiency lead me to change fields from Project Management into Full-Stack Development.
Enrolling in FlatIron School's Software Engineering program was the perfect way to transform my enthusiasm for finding solutions and optimizing processes into practical skills. Transitioning careers has allowed me to create unique projects that align with my interests and allows me to flex a creative muscle I otherwise couldn't.
Even though I'm neither musical or artistic, Software Development gives me the ability to create theoretically anything I can imagine. Data management and optimization have always been at the forefront of that creation, introducing me to DSAs to properly process the myriad of information. I'm now seeking a position where I can further develop and refine these skills, ensuring my long-term success in the Software Development field.
Repos
Satisfactory Planner
This app allows players of the video game Satisfactory to visualize the game's data based on their personal factory systems to assist in strategizing future decisions.
Holistic Health Handbook
Currently still in Development. A long-term passion-project that is a comprehensive website designed to educate other on various aspects of health. Intend to turn it into a low-cost SaaS aimed at providing users with easy ways to visualize different dimensions of their wellness.
Canasta Clash
Currently still in Development. Initially a single page application (SPA) describing the classic rules for the game of Canasta and some personal variants that make the game more enjoyable for myself and my family. Aim to potentially turn into a SaaS application
DC2 Text Scrapper
Currently still in Development. Utilizes Python to scrape over a single page application (SPA) searching and displaying information vital to a nostalgic game from my childhood. This information is then categorized and stored in a database for visualization and analysis.