Michelle Koo Email & Phone Number

San Francisco, California, Us

Pleasanton, California, Us

• Full stack software engineer, tech lead, and mentor on the Code Lifecycle Engineering team working on internal developer tools to boost developer productivity and improve the application development experience (DevEx/DevX) at Workday

Pleasanton, California, Us

Pleasanton, California, Us

Pleasanton, California, Us

• Software Engineer in the Tools Rotational Program• Built a new design for the Workday test framework in Java• Contributed to a chaos engineering tool written in Java to test reliability and availability of the system• Created Jenkins deployment pipelines as part of the DevOps rotation for the security team

Pleasanton, California, Us

• Planned and hosted a networking event on UC Berkeley's campus with Workday's recruiting team for future Workday new grads.• Planned and hosted a study break event during finals week that was sponsored by Workday.

• The Undergraduate Journal of Psychology at Berkeley is an annual publication that allows students who have done research and scientific studies in the field of psychology to publish their findings. • As the Chief Technology Officer, I maintained and updated the Journal's website that was hosted by Wordpress. • Helped set up a blog to provide a space to allow for deeper discussions about scientific research in psychology. • Moved the website from Wordpress and created a new website for UJPB on Github (https://github.com/ujpb/ujpb.github.io) utilizing HTML and CSS.

Pleasanton, California, Us

• Interned on the Performance team as part of the Tools organization• Worked with Scala, Apache Spark, Node.js, and Angular 2 to create an ANSI-SQL interpreter to allow users to run Spark queries, beyond the capabilities of the existing Performance Portal, using SQL.• Enhanced the existing Performance Portal by implementing progress bars to reflect job status updates.

Berkeley, Ca, Us

• Part of the lab committee where I proofread labs and helped designed questions for future labs. • Attended labs and helped students with lab exercises, homework, and with general questions.

Berkeley, Ca, Us

• Interned in the Scientific Data Management Group, Computational Research Division as part of the U.S. Department of Energy’s SULI program.• Worked on I/O optimization analysis on performance measurement data from scientific clusters• Created an I/O performance analysis framework that helped uncover and analyze bottlenecks in the Palomar Transient Factory application using Python, Spark, iPython notebook, and Matplotlib.• Accepted into the SC'15 student research competition to present a research poster in Austin Texas. http://sc15.supercomputing.org/sites/all/themes/SC15images/src_poster/src_poster_pages/spost113.html• Research Poster: http://sc15.supercomputing.org/sites/all/themes/SC15images/src_poster/poster_files/spost113s2-file1.pdf• Extended Abstract:http://sc15.supercomputing.org/sites/all/themes/SC15images/src_poster/poster_files/spost113s2-file2.pdf • Posters and Publications: M. Koo, W. Yoo (advisor), A. Sim (advisor), “I/O Performance Analysis Framework on Measurement Data from Scientific Clusters”, International Conference for High Performance Computing, Networking, Storage and Analysis (SC ’15), ACM Student Research Competition (SRC), 2015, 2015.W. Yoo, M. Koo, Y. Cao, A. Sim, P. Nugent, K. Wu, “PATHA: Performance Analysis Tool for HPC Applications”, the 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), 2015.W. Yoo, M. Koo, Y. Cao, A. Sim, P. Nugent, K. Wu, “Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters”, Conquering Big Data Using High Performance Computing, edited by R. Arora, Springer, 2016.

Berkeley, Ca, Us

• Part of the lab committee where I proofread labs and helped designed questions for future labs. • Attended labs and helped students with lab exercises, homework, and with general questions.

• Taught students from fourth to eighth grade the principles of web design. • Scanned tests and updated information in the online student database. • Took care of kindergarteners in the morning and during lunch on the playground and in the classroom.

Los Angeles, Ca, Us

My team and I were chosen as a top ten world finalist in the Technovation Challenge mobile app building competition. We created the prototype Neighborhoot- a community watch application aimed to connect neighbors of a community through a public forum, an educational game, and a panic button. We worked with MIT app inventor and created a business plan emphasizing our marketing strategy, goals, and pitch. Our app was featured on ABC news.

Computer Science

Education record