Lead Program Managers in the Workspace Monetization team, which drives revenue growth by helping customers discover, adopt and embrace Workspace (the set of intelligent Google apps including Gmail, Docs, Drive, Meet and Calendar that helps users maximize their creative output).

Core SRE drives the stability, reliability, durability and operational excellence of the Core infrastructure systems and services that enable Google Products to serve billions of users, providing the underpinnings of user trust and seamless experience.

MS + MBAMIT's Leaders for Global Operations program brings together the rigor and technical expertise of the MIT School of Engineering, the business, leadership practice, and cutting-edge theory of the MIT Sloan School of Management and the real-world experience of the LGO industry partners. Students receive two degrees in two years: an MBA from MIT Sloan School of Management and a Master of Science degree from one of seven participating departments in the School of Engineering.

Amazon Robotics automates fulfilment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. While robotic inventory has greatly increased productivity, it has also created a new set of operational challenges. The primary objective of my work was to identify opportunities to improve visibility to system operators into deteriorating conditions that require manual intervention in highly automated distribution centers.

I worked on the Asset Management team within the Power Generation Department, a highly data-driven group focused on PG&E's 3,900 MW hydroelectric fleet which consists of 67 powerhouses with 107 generating units, 98 reservoirs, 170 dams, over 400 miles of water conveyance systems. I was responsible for programmatically conducting risk assessments, monitoring health and consequence, identifying and prioritizing impactful work, and developing standardized engineering solutions and procedures to improve reliability, optimize value, and develop the long-term plan and strategy.

During an 18-month development rotational program, I rotated through several engineering roles in the Power Generation department which works to operate PG&E's network of power generating facilities throughout California. Positions included project engineering, project management, and construction for PG&E’s hydroelectric system and combined cycle natural gas power plants.

The Network for Earthquake Engineering Simulation (NEES) is a network of laboratories across the U.S. created by the NSF with advanced experimental tools to accelerate understanding of seismic activity on today's infrastructure. As a NEES intern at the UCSB lab, I studied experimental data from a fully instrumented test structure to improve understanding of soil-structure interaction (SSI). A full-scale test structure continuously recorded the response of the structure to ambient earthquakes as well as regular forced vibration tests via a mobile shaker. I characterized the effects of SSI using parametric and non-parametric system identification procedures and investigated changes in structural behavior with changes in the environment, such as seasonal fluctuations in temperature and ground water level. Findings have been presented at several conferences, including the Southern California Earthquake Center 2012 Annual Meeting, the American Geophysical Union 2012 Fall Meeting, the Seismological Society of America 2013 Annual Meeting, and the Network for Earthquake Engineering Simulation Annual Meeting 2013. My work won “Best Overall Research” Winner at the Young Researcher’s Symposium at Stanford University in 2012.

For an independent research project, I investigated the topic of "Sustainable Concrete from Optimized Aggregate Mixtures." Research suggests that mixing particular size distributions of coarse and fine aggregates can significantly reduce the amount of cement by allowing the aggregate to fill a greater volume fraction of the concrete. Reducing the amount of cement in concrete has significant implications since production of cement is very expensive, energy intensive, and generates over 7% of the world’s anthropogenic carbon dioxide emissions. Using their newly developed Torquato-Jiao (TJ) linear-programming algorithm to study a broader range of granular structures packed from random initial conditions, Princeton University researchers Adam B. Hopkins et al. believe they have demonstrated the presence of previously unknown binary structures at specific small-to-large sphere size ratios and relative small sphere concentrations. Although binary aggregate is not practical, the mathematical approach would permit optimization of broader size distributions that could allow for a sizable reduction of cement in concrete if validated. I worked to investigate this new theory experimentally.

This was my first summer as a NEES research intern at UCSB, where I began my study of soil-structure interaction (SSI) using experimental data from a fully instrumented test structure. My work produced very interesting findings and I was invited back to for a second summer to continue the research.

To develop business, management, and leadership skills, I took an intensive summer course at Cornell's world-renowned School of Hotel Administration. Through presentations, case studies, research, guest speakers, computer simulations and more, I learned about the scope of the hotel industry, the primary business models, market forces, and operational challenges. I honed professional oral and written business communication and analytical skills.

During a summer internship in the Engineering Department of BAAQMD, I improved their records management system, worked with decades of data and organized them for more efficient use, and sent out compliance letters to companies who owned equipment that violated air quality discharge standards.