• Led 0 to 1 launch, UAT, and Agile development for Scout, a web-based application that serves as the visual interface for perception and motion planning of the autonomous vehicle for 80 staff members across the US. The Scout app is critical for safe development testing, real-time feedback for improving autonomy, and demos to investors and government officials including Secretary of Transportation Pete Buttigieg.• Directed creation and iteration of metrics dashboard, user documentation, and SUS surveys for Scout that tracked a 26pt improvement (54 to 80) within 5 months of launch to better tailor user experience and create a robust listening system.• Principal author of PRDs for proposing new workflows to filter down millions of miles of on-road test data to what is most salient for trained employees to review or label. Implemented new UI, data services, and automation solutions for iterating on the artificial intelligence system with a cross functional team for >100 daily users. These improvements allowed engineers to be 40% more efficient landing PRs, took 60 users off of spreadsheets and onto internal tooling that better tracks historical data, and unblocks the company-wide safety case.• Devised vision and directed labeling tooling creation for several major initiatives to create and curate data sets of over 50,000 simulation tests for training machine learning algorithms for selecting driven path and workflows to validate driving behavior for safe autonomous operation.• Streamlined the data annotation hashtags feature which reduced user-memorized annotations following extensive interviews of users and end consumers of data, the machine learning autonomy engineers, resulting in a 57% reduction to simplify the in-vehicle testing process

Academic Excellence Workshop Facilitator for Multivariable Calculus for Engineers- Lead supplementary workshop for two hours per week for freshman engineering students- Create worksheets, deliver summary lecture of weekly material, facilitate teamwork and group work among students

- Streamlined circuitry, reduced energy consumption, and increased sensor capabilities of an IoT, solar powered air pollution monitor

- Leading an 8-month project designing EMG sleeves for detection of muscle signals to inform the UI of prosthetic hands in collaboration with Invictus BCI- Led an 8-person team to completion of a project with a leading non-invasive neurotechnology company to develop novel heart rate variability sensors for its forthcoming projects that ran from Nov. 2019 to May 2020, including navigating shift to online in Mar. 2020 due to COVID-19 pandemic to ensure project completed on schedule despite circumstances via virtual meetings- Responsibilities included being the primary point of contact for collaborators: biweekly emails and bimonthly check-in calls, delegating tasks at weekly meetings to assure completion by end of SP 2020 semester, and various weekly meetings for operating project teams at Cornell and collaborating with team lead and other subteam leads

- Developed and improved a hand-held sensor that tracks the strength of a patient’s grip in accordance with drug cravings for opioid addiction research with two other students for National Institute of Drug Abuse (NIDA)

- Collaborated on a team with 6 other students to design and build a prototype for a low-cost solar powered heating system for Syrian refugee camps near Beirut, Lebanon

- Developed the framework to quantitatively evaluate the perception capabilities of self-driving vehicles at a systems level, independent of hardware or software implemented, to determine fitness for releasing to the road and understanding improvement over time- Worked with software, systems, and testing teams to understand stakeholder perception requirements and inputs for system level testing- Designed a metric in Python for determining latency in detection of surroundings to be integrated in company-wide metric library- Drafted example test plans on metrics to be later implemented by test teams

•Devised, performed, and processed data for test procedures for an Augmented Reality (AR) system prototype with SLAM (Simultaneous Localization and Mapping) and scene-change detection capabilities•Recruited test subjects and conducted user testing to inform the future prototype development of an AR application and made recommendations based on data analysis from tests and other research