With years of tech industry experience in designing and developing enterprise grade Web applications, I have earned a track record of bridging my technical and creative skills to build delightful and scalable Web interfaces that help people make sense out of big data. Throughout my professional career as a software designer-engineer, I have been passionate about crafting Web tools that allow big data to be useful & insightful to humans. My design approach to software follows a user-centric model focused on deep user observations, need-finding and iteration, shaped largely by my training at the d.school of Stanford University.
2019 - Present
I’ve been working as a full-stack software engineer and user experience designer for Amazon. Our team operates one of Amazon’s largest data infrastructure and analytics platforms. Among many other Web development projects, I’ve primarily worked on the user-facing data querying and analytics tools and dashboards which allow user to access and interact with Amazon’s business critical data at TBs scale.
2014 - 2017
A senior engineer on the frontend engineering team of the silicon valley’s unicorn company AppDynamics (now part of Cisco Systems), I developed many of the powerful data visualizations used by enterprise consumers. These data-intensive, user-friendly visualizations have been the flagship features of AppDynamic’s offerings and helped many businesses monitor and quickly troubleshoot their complex cloud-based software environments.
2013 - 2014
Partnered with the non-profit Center for Open Science, I worked as a researcher, designer and software engineer on The Open Science Framework, a Web platform that publishes free-access scientific research data, on a mission to increase the openness, integrity, and reproducibility of scientific research. In this year-long project, I developed a sociotechnical thesis that seeks to understand the incentive structure for open science from a socio-cultural perspective, and attempts at a software solution to facilitate its implementation.
The socio-cultrual research element of this thesis elucidates that current scientific reward system needs to be changed to facilitate open science. To create incentives for researchers to open up their research materials for the broader community, organizations need to provide researchers with intrinsic rewards, proper credit allocation, and tangible career benefits. Through a discussion about the past, present and future of reward system in scientific research, we provide a clearer picture about the challenges and potential strategies to reform the process of scientific communication.
The technical element of this thesis looks at the problem from the software perspective. In this project, we create an interactive research exploration and organizing tool for the Open Science Framework. We contribute to this collective effort by making the creation of incentives as an explicit design goal for open science web applications.
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A summer researcher in the REU Program in Data Intensive Computing program funded by the National Science Foundation, I partnered with Medical University of South Carolina to conduct algorithmic research for detecting epilepsy-related neural activities from clinical EEG data in near real-time, and developed a Web dashboard visualizing the detected data events and allowing for human-machine collaboration on result validation process.