Aleksei Bingham Email & Phone Number

Broomfield, Colorado, United States

At Strava I had the opportunity to enhance my Android development skills by bringing student plans from a web only experience to mobile. I used numerous technologies including but not limited to Android Studio, Android Studio SDK, Kotlin, XML, MVP Architecture, Dependency Injection, RxJava, and Version Control using git and GitHub.

- Developed and deployed a comprehensive web analytics dashboard that provides daily test results using TypeScript, Tailwind CSS, HTML, React, and Zustand- Contributed to an "open" internal web application adding a beautiful new analytics view usable by over 100+ teams using JavaScript, HTML, CSS, React, Redux, Jest, Enzyme, Ruby on Rails, and React-ApexChart- Automated the review, feedback, and approval of pull requests using the Bitbucket API and the Jenkins pipeline. This automated system also has the ability to leave descriptive comments addressing build failures when applicable. The system also caught over 600 build errors, 250 missing requirements, and automatically approved over 150 pull requests all without manual intervention.- Created a tool to automatically update our department's documentation every 24 hours using Python and git. The newly updated documentation would later be pushed to GitHub pages allowing it to be easily accessible by members both in and out of our department.- Implemented a new endpoint in our PostgreSQL backend to support both GET and POST requests using Python, Django REST Framework, PostgreSQL, pgAdmin 4, and DataGrip. These new endpoints will later be used to enhance a previous web application I worked on.- Greatly enhanced an internal tool used to diagnose errors in test suites with Python and Pipenv.- Presented my work to both the Vice President of the Interactive Media Group and the Department Head of Interactive Media Group Quality Engineering

Derby, Vermont, United States

Throughout the summer I designed custom network topologies using Python and the Mininet framework. My network topologies were used in order to stress test the performance and scalability of secure multi-party computation (MPC) with respect to a large number of parties.Shortly after successfully implementing these network topologies. I implemented custom network protocols that allow for secret sharing of private input in the form of asymmetric cryptography. I also implemented another protocol that would further enhance the exchanging of these public keys and their associated encrypted data by modifying the packets sent between individual party members.My approach was to try out both TCP and UDP implementations and limiting the number of packets needed to be sent throughout the topology while maintaining accuracy and privacy.As the summer came to an end I was able to harvest results from my stress tests and conclude that there is potential for MPC to become scalable with hundreds if not thousands of party members.I used several tools to create and maintain these topologies such as GitHub, Docker, Python, Mininet, PyNaCl, and Sphinx for documentation. I also collaborated with numerous professors of computer science and students from other universities all with unique backgrounds and skill sets.