• Confirmed viability of autogenerated Guidance Navigation & Control (GNC) C++ code to be used for new Orion spacecraft• Implemented changes to Mode Transition and State Transfer systems in Orion to suit Software Requirement Specifications• Read through all source material to familiarize myself with specific Orion systems and general architecture

• Made video capturing/recording software for GenICam-integrated cameras using C#, C++, and Python• Built user-friendly UI to interact with camera software using C#/WPF, which was deployed in the final release• Rigorously debugged software using .NET, Visual Studio, and Windows 10 tools

• Managed a team of 18 programmers using the Scrum framework to delegate tasks and integrate different software features• Enforced documentation/Git workflow standards to harmonize integration of features into each other and into the robot• Made, scheduled, and delivered lectures on topics in robotics (up to 3 per week) to newcomers to the team • Made wireless communication protocols (robot to Intel Nuc) using MQTT/C/Python for the ESP8266 chip• Implemented robot localization with stereoscopic camera and ARTags, OpenCV; integrated using Robot Operating System• Improved robot stability while operating autonomously using a PID controller• Participated heavily in robot design and strategy planning (including proofs of concept and autonomous strategy)

• Made long range (10km) wireless communication software using the LoRa protocol and tested it with range trials• Wrote embedded C code for the STM32WL series of chips as part of a distributed home security application• Developed, debugged, and compiled C code using IAR EWARM toolchain for ARM microchips• Jury-rigged transmitter and receiver testing apparatus to get accurate range and bandwidth usage data

• Surveyed construction sites with GoPro/Sennheiser Ambeo to build training data for urban noise-identifying ML program • Made Python scripts to equalize, merge, and augment video clips using moviepy while maintaining statistical integrity• Made Progressive Web App using React Native to crowdsource training data labels through Amazon Mechanical Turk• Annotated all collected video clips to make “ground truth” data for comparison with crowdsourced data

• Developed website using React.js to display -omic data to non-medically trained users in a concise and understandable way• Participated in design phase, producing mockups to make website interface as user-friendly as possible• Participated in development of augmented reality program to identify average bacterial properties of household items

• Used OpenCV to make a robot autonomously detect and target brightly colored obstacles• Wrote code to teleoperate the robot with keyboard/Xbox controller using sensor data• Established communications between devices through a wire using UART and I2C, experimented with SPI• Worked on a parts database for the robotics lab which helped to prevent overspending of limited resources• Found nuances in competition rules and suggested changes in robot design and strategy

• Coded state controller to switch autonomous racecar’s state between obstacles, integrated all components with Robot Operating System• Implemented line follower using OpenCV, • Coded and fine-tuned PID controller to stabilize car• Used 180° LIDAR and made a mathematical formula to localize car

• Worked on design of a 3D printed prosthetic hand using electroactive materials in place of artificial muscles• Conducted material research on electroactive materials• Programmed components of hand using MyoWare Arduino sensors. • Contributed to CAD of hand using Autodesk Inventor

• Developed parts of iOS app using separately made mockups and Xcode/Swift • Took over full iOS development for the remainder of my employment after lead iOS developer left unexpectedly, since only Android devs remained in the company• Worked in a small team of engineers, designers, and managers following the Agile workflow