No company affiliations.
I am a program manager at Microsoft working on relevance at Bing. I also recently graduated from Stanford University where I majored in Computer Science. I am interested in technology, business, social media, entrepreneurship, and social change.
Bing Core Search
Led one of the largest student groups at Stanford consisting of over 100 entrepreneurial-minded students. Oversaw programs with a budget of over $300,000 that inspired, funded, and grew entrepreneurship at Stanford through workshops, speaker series, an international bootcamp, an accelerator program, and business plan competitions.
Worked on team building new online checkins site to create interest graph of the web. Implemented specs and designs for new frontpage and various features. Designed A/B testing framework and built a prototype implementation to allow stakeholders to easily push and monitor performance of test concepts in front of real users.
myCollegeSTAT makes the college admissions process more social and open by building a platform around personal user-submitted college admissions data that reveals more than just your average statistics. Lead development of the website in PHP (Kohana framework), MySQL, and AJAX. Managed infrastructure of website and social media presence, growing user base to thousands of users. Awarded $15,000 in business plan competition.
Helped plan technical construction of companys first application: a painting and sharing tool for children. Created use cases, functional design, and functional requirements. Built feautre into app using C# and SMIL files to encourage creation and sharing
Worked in the Fixed Income Division with the desk strategists developing a project management system in C#. Interacted closely with desk strategists and collaborated with IT division to create features that optimized management of projects in the group.
Worked along side researchers at CCLS on a machine learning project for ConEdison on the electric grid. Developed an anomaly detection algorithm in MATLAB to find unique time series patterns from feeder data to aid in the detection of transformer outages.