SJIC lab
Technology Used: React Native, Expo, Python, AWS Cloud, PyMySQL, Flask, JotForm
ROLE: Software Developer
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Organization: South Jersey Innovation Center
SJIC Lab is an app to help the South Jersey Innovation Center streamline their process in acquiring information and have a database to ease the use, while being an online platform for users to register & staff to create events.
CareCloset_
Technology Used: React Native, Expo.dev, Node.js, Google Firebase, Android, iOS, SQL, AWS, Google Places API, Machine Learning, Random Forest, ARIMA, LSTM, and CNN
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ROLE: Software Developer
CARECloset _ is an app to predict clothing insecurity and clothing needs across all 50 states within America using Artificial Intelligence (AI) and enable clothing donations. More changes are being added to increase app productivity and tasks.
FightHunger
React Native, Expo.dev, Node.js, Google Firebase, Android, iOS, SQL, AWS, Google Places API, Machine Learning, Random Forest, ARIMA, LSTM, and CNN
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ROLE: Researcher and Developer
FightHunger_ is a web application that is centered on predicting food insecurity and food needs across 50 states in America using Artificial Intelligence (AI) and enabling clothing donations. This app also has an associated research paper which has been submitted to GeoJournal
Object Detection in Traffic
Neural Networks, Data Analysis, Pandas, Tensor Flow, SciKit Learn
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ROLE: Researcher and Developer
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Organization: InspiritAI
This final project for Inspirit AI was made by a team of developers interested in object detection and was directed by a teacher from the company. The project used neural networks, classification, image identification, clustering in order to find the best model for predicting the object. A presentation was given and data analysis was used on this project in order to present the findings of the model
Marketing Analysis for Brands
Data Science, SciKit Learn, Python, R
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ROLE: Developer
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Organization: Brown University
This team project sought to seek whether brands invented by AI’s choice were more successful than brands invented by companies. Regression, classification, KNN, scaling, big data, statistics, hypothesis testing, and data analysis were used in order to predict the best choice of brands. The hypothesis was supported, dependent upon the classification line made by the AI. A presentation was given in class to show results.
Iron Devils Robot
Java, WPI-LIB, Visual Studio
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ROLE: Lead Developer
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Organization: Brown University
Robots made by the Iron Devil, a school robotics team, which participated in FRC where the robot competes against other robots in a game. The robot is built with a software team, mechanical team, and electrical team. I am a part of the software team where I have used path planner algorithms, wpilib library, PID loops, tank drive design, and autonomous commands for the robot to perform. The robotics team ended up 4th out of 27 at their home event
Launch Date: December 15 th , 2024
This is a web application for my High School club based in Medford, New Jersey, dedicated to addressing clothing insecurity within the community. We organize monthly clothing donation drives to collect and distribute essential clothing items to those in need. In addition to clothing drives, we host various community events, such as weather specific express drives e.g. January Jackets, April Apparel etc., to further support residents at the time when they need it most. My club is affiliated with the Students Actively Concerned Club. Check it out.
