• Brainstormed, designed, and built a mobile, intelligent home robot designed for security andcompanionship.• Developed mobile app for user interaction and management of robot using React Native so it supports bothAndroid and iOS.• Collaborated with team to design and implement end-to-end system including robot hardware, cloudservice, and mobile application.

Researched and analyzed various machine learning platforms’ capabilities including AWS Sagemaker, IBMWatsonx, Azure AI, Google Cloud AI, Altair, BigML, and DataRobot.• Evaluated different regression models provided by each platform including, Neural Networks, GradientBoosted Tree, Support Vector Machine, Random Forrest, Elastic Net, Snap Boosting Machine and XGBTrees.• Compared these models’ performance to each other and to the current regression model being used by thecompany (NeuroGenetic Optimizer) based on financial training data representing the fundamental value ofa company’s stock.• Built and trained new neural network models and Gradient Boosting Tree models to better predictfundamental value of stocks.• Built the run-time portion of the best model found in C# code so that it can be deployed onto Bloombergand TradeStation

Basketball Coach: - Youth lessons: Coach kids 6-12 on fundamentals of basketball, doing drills and group games - Varsity Coach: Coach 8th grade team, create and work through drills that will improve their individual skills and teamwork. Summer camp coach: - Lead kids ages 6-12 through fun activities throughout the day and teach them life lessons that will make them better people.

Developed Android app to track location of device within room using Bluetooth RSSI signal.- Researched popular signal trilateration methods and developed my own algorithm for the app- Conducted experiments with different Bluetooth devices to improve and verify effectiveness of algorithm