Hi, I'm Giacomo
I'm currently studying economics and computer science at Duke University. Outside of the classroom, I spend my day-to-day developing projects with Python, TypeScript, Java, and more.
I'm currently studying economics and computer science at Duke University. Outside of the classroom, I spend my day-to-day developing projects with Python, TypeScript, Java, and more.
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Award winning* software that is the most intelligent and efficient virtual patient charting application for emergency medical technicians on the market. Utilizes an algorithm that suggests treatment based on patient information, a machine learning model that provides diagnostics and appropriate protocols, and more. Supports audio transcription and translation for patient charting and communication.
*Earned 1st/30 at HOSA NJ Medical Innovation, 1st/113 at the East Coast Hackathon, Blue Ocean Student Entrepreneur Competition top 100/10,000+ submissions, and Diamond Challenge Semifinalist.
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This web app is a valuable resource for investors who want to stay up-to-date on a particular company's performance in the stock market. The stock overview page offers a brief yet informative summary of the company's sector, industry, and exchange. On the financial analysis page, users can find more detailed information on various metrics, including stock volume and price, as well as key financial indicators like gross profit and net income. The personalized article feed keeps users informed about relevant news and trends in the market, making it easier for them to make informed investment decisions.
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In this paper, we study the applications of persistent homology and simplicial complexes, specifically the Vietoris Rips Complex, to the modeling of ECG data of patients with Ventricular Tachycardia, a condition in which the ventricles of the heart beat abnormally quickly. We then compare the results to those from healthy controls, and examine the differences between the persistence diagrams and persistence images generated from the homology.
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In this project, I analyzed the breast cancer dataset using various data visualization and machine learning techniques. I initially visualized the relationship between different features and cancer diagnoses, then applied and tuned a K-Nearest Neighbors classifier to predict cancer outcomes, ultimately identifying the optimal model parameters for the best prediction accuracy.
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Utilized polymorphic patterns in Java to recreate a virtual game of chess with graphics supported by the Java Swing and Java AWT libraries. Created an artificial intelligence to play the game, that sees mutliple turns ahead and utilizes a minimax algorithm to play accurate moves. Implemented alpha beta pruning to make the algorithm faster, and custom board evaluation heuristics to optimize the bots control of the center and endgame tactics.
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In developing the website for Provita Pharmaceuticals, a student-run company based at Bergen County Academies in Hackensack, NJ, I prioritized a clean and user-friendly design to showcase the company's diverse research areas. Provita focuses on creating innovative technologies and drugs to improve lives around the world, with projects spanning from skeletal reparative treatments to other therapeutic areas like orthopaedics, virology, and dermatology.
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KickStop is a full stack web application for footwear shopping, developed using the Angular framework. The application features a secure user login and authentication system powered by Firebase, ensuring a safe browsing experience. The website's real time database allows users to conveniently track their cart history, enabling them to pick up shopping right where they left off, as well as track their past order history.
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Worked as lead developer and utilized the bootstrap front end framework to create a mobile responsive web page in parternship with the Haitian Alliance for Community Action non profit, an organization dedicated to the distribution of resources to underprivileged populations in Haiti. Created interfaces for users to donate to the cause, contact the charity, interact with the HACA blog page, view a gallery of HACA's work, and more.
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Developed an image filtering software as a part of the Harvard CS50 cirriculum, using C to implement filters such as grayscale, edge detection, reflect, and blur for image manipulation. Applied advanced algorithms like the Sobel operator for precise edge detection, and optimized the program's execution through effective memory management and minimizing resource usage.
AngularTypescript
Perl