Master of Engineering in Applied Artificial Intelligence
Stevens Institute of Technology
August 2020 - May 2021
GPA: 3.635
Bachelor of Engineering in Computer Engineering
Stevens Institute of Technology
August 2016 - May 2020
GPA: 3.319
Software Engineering Intern
Owner of robust camera management background Android application that flexibly controls both internal and external USB cameras. Maintained and improved CI/CD pipelines using tools such as Jenkins and build scripts, resulting in faster and more reliable builds and deployments of software applications. Collaborated with a team of developers using Git for version control, ensuring smooth integration of software components and timely delivery of project milestones. Owner of background Android application that manages certification and update features
Conceptualized the initial design and built multiple screens for an Android home wall tablet using kotlin. Incorporated multiple layers of abstraction using a model-view-controller design pattern. Several specifications were required, however many design aspects were up to me.
Resumed application after a prototype was developed and after a full time employee took over. Implemented a Domain-Specific Language or DSL in kotlin to construct menus similar to html. Discussed hardware, firmware and UI/UX elements with several teams to create working prototype. Ensured that external devices connected to the wall tablet would be able to communicate effectively.
Data Analytics
UPS tracked individual packages, then grouped them up and sent that group to USPS. USPS would group those groups up into even larger groups called bags. The goal of the internship was to be able to ensure all UPS packages in the USPS bags were accounted for. This was done by a Microsoft Access program in SQL Server Integration Services to analyze discrepancies in package invoices. There were multiple tables that required complex SQL queries to sort packages contained in joined tables by unique ID. The project was done in collaboration with one other intern.
Information Technology Consultant
Resolved technical issues on Windows and Mac from staff in person and via phone
Troubleshot problems with drivers, network adapters, and supported programs
Topics: Linear Regression, PCA and other dimensionality reduction techniques, Gradient Descent, Cross Validation, Multi-Layer Perceptron networks, dropout, Mutation and crossover
Topics: Linear Regression, Multi-Layer Perception Network, backpropagation, dimensionality reduction, Convolutional Neural Networks, AutoEncoders, Recurrent Neural Networks (LSTM, Attention), Parallel processing, Generative Adversarial Networks
Topics: Path planning, A* and D* algorithms, Multi-robot motion planning, kinematic models of robotic vehicles, steering control methods, collision avoidance, motion planning in human-centered environments, ROS
Topics: String manipulation, GCD, LCM, Powermod, Sorting, Insertion, quick, heap, merge, fischer-Yates, BST, Bisection, GoldenMean, GrowArray, Linked List, Binary Tree, Tries, Hash functions, Graph Theory, Floyd Warshal, Bellman-Ford, Prim, Kruskal