Search Intelligence Team

- Conducted text-based analysis on English summaries generated for low-resource language documents to determine potential causes of Mechanical Turker non-relevant scores for ground-truth query relevant summaries- Ran experiments utilizing various machine translation and automatic post-editing systems to increase occurrences of query words within summaries, which contributed to increased relevancy scores during evaluation

- Designed data mapping for container repositioning AI solution input and output to standard Industry Data Model entities, allowing for future composability and productization- Implemented portion of data mapping along with corresponding input data validation and test cases, using Python- Interfaced with product manager and other stakeholders to understand requirements and customer needs

- Utilized AngularDart and Java to implement and integrate frontend for a new suggestion surfaced to advertisers to take advantage of opportunities to increase conversions by raising budgets for certain campaigns - Interfaced with product manager and other stakeholders to launch suggestion, contributing to project increase in annual revenue at the multimillion-dollar scale

- Communicated with UX designer and team to build out and launch a RSS subscription feature and a history view feature for the Facebook Ads Status Page to enable advertisers to be notified of disruptions and track progress of issues - Modified webpage and supporting internal editor desktop application using ReactJS and ElectronJS

- Lead a team of five undergraduate students to build a web app to allow the International Justice Resource Centerto provide users access to treaties that protect human rights in countries across the world- Hold weekly team meetings, set goals for each week, and assist with issues that members had during development- Using Python and Flask for the backend and HTML/CSS/JavaScript for the frontend

CS 4700: Foundations of Artificial Intelligence- Hold weekly office hours helping students with problem sets and understanding concepts ranging from searchmethods and heuristics to unsupervised and supervised learning- Grade problem sets and exams throughout the semester

- Collaborated with three other students under Professor Cardie to design a chatbot that provides suggested responses with various tones during a user's text conversations in order to analyze the suggestions' effect on the user - Read various papers to explore different topics in NLP and determine applications to current problem

Corporate Relations Co-Director (May 2018 - Dec 2019)- Manage correspondence and organization of events with companies- Maintain strong relations between WICC and corporate sponsors and companies- Expand corporate events to more than tech talksRepresentatives Co-Director (August 2017 - May 2018)- Oversee representatives and provide support for them to complete their project milestones- Attend and help organize WICC workshops and eventsRepresentative (January 2017 - August 2017)- Bringing women together in computing by completing a project to advance WICC's mission- Organized a faculty research panel with three other representatives

- Worked on a feature to allow Product Experts, users who assist other users who ask questions on Google’s help forums, to escalate threads from public forums to private ones where they can discuss amongst themselves and Googlers with expertise in that area- Developed the user interface using Angular and Dart and the supporting backend using C++

- Developed a user interface using Angular for an internal service allowing associates to view announcements and client accounts associated with certain tax regulations- Integrated frontend with backend store procedures by creating a RESTful web service using Spring Boot and Java- Worked with a group of interns to analyze the effects of digitization on one of Fidelity’s investment products and present a design to minimize the drawbacks for the young investor demographic

- Working with another member on displaying the data that the Arduino on the boat sends to our computer - Creating a GUI using MATLAB that allows members to interpret data in real-time and view the boat's conditions

- Conducted user testing with the group’s current mobile app on campus and provided design input- Used Python and JavaScript to create a program to convert RSS feeds to compatible JSON objects that can be entered into Agnes’ database

- Created a working prototype that allows employees and employers to estimate the market value of employee’s skills - Developed a solution that ingests relevant datasets to create a baseline model that allows estimation of “skill” value using Apache Spark and Scala- Worked on data normalization, cleansing and transformation - Presented the developed prototype to show the CEO and tech team for final review and further considerations