Developed an Android automated test framework using Java, Gradle, XML, and Appium, reducing manual testing workload by 50% and improving testing efficiency.Built and maintained a REST API using Flask and Python to interface with a TensorFlow-based object detection model, achieving 85% accuracy in identifying graphics.Implemented image recognition features using OpenCV and Java, enhancing test coverage and expanding automated testing capabilities.Collaborated within an Agile team environment, driving iterative development, code reviews, and ensuring high product quality through continuous integration.

During my time here, I conducted an analysis of 2000 research papers on social-ecological systems using Python Jupyter Notebook, and pandas. This involved employing TextBlob and other NLP techniques to understand the underlying subject matter discussed in the papers. My other tasks involved, utilizing Tabula and Python to convert over a dozen PDFs, each containing at least a thousand entries, into CSV format. This conversion facilitated efficient data extraction and analysis.Furthermore, I applied Python and OpenCV to implement object detection algorithms, enhancing the analysis and interpretation of site plan images. This allowed for the recognition of key features within the images, contributing to a more detailed and insightful examination of social-ecological systems. Overall, the combination of NLP, data extraction, and image analysis techniques provided a multifaceted approach to comprehensively understand and interpret the complexities of social-ecological systems in the analyzed research papers.

In my position, I provided troubleshooting and maintenance support for faculty hardware and software, utilizing ServiceNow for efficient issue resolution. I also guided junior employees in understanding troubleshooting procedures and workflow processes. Additionally, I managed the distribution and installation of hardware and software for faculty and staff, ensuring timely implementation. This involved overseeing logistics to minimize downtime and contribute to the overall productivity of the academic environment. Through these responsibilities, I played a crucial role in maintaining a reliable technology infrastructure at UC Davis, supporting the academic community in their pursuit of excellence.

Developed a Python application using Tkinter and the Google Maps API to streamline the process of locating and curating GPS data, thereby reducing the time spent on these tasks. Designed flowcharts for approximately 2000 lines of code related to a chemical sensor, enhancing accessibility for lab members and facilitating a better understanding of the project. Additionally, applied Solidworks to create a more portable and practical design for another chemical sensor, specifically tailored to distinguish illness in bats. This design aimed to optimize functionality and ease of use for improved applicability in laboratory settings.

Managed the daily processing of approximately 90 orders and provided leadership to a team of three individuals responsible for order management. Spearheaded the implementation of a "hub and spoke" project, resulting in a notable 20% expansion of the service area. Took charge of organizing and categorizing the local in-app menu, including the design of special categories for holiday specials, with the goal of enhancing public awareness and engagement. Additionally, contributed to the maintenance and upkeep of Starship robots, involving tasks such as changing motors, working with cameras, and fixing tires to ensure optimal functionality of the robotic fleet.