experience

• Quansa

  Jan-Feb 2022

  Software Engineering Intern

  • Developed a reconcilation system for Quansa salary advances and company invoices, including a bank scraper bot and StarkBank integration
  • Built automatic invoice generation and payment tracking dashboard
  https://www.quansa.io/

  I'm super thankful for the Quansa team for bringing me on for a short but incredibly impactful experience. I realized how much I love building in fintech, especially making a direct positive impact on people. Fran and the rest of the engineering team helped me learn how to build reliable systems from scratch and Mafalda and Gonzalo pushed me to grow as a communicator and problem solver.

• MIT CSAIL: Program Synthesis Lab

  Feb-May 2022

  Undergraduate Researcher

  • Integrated user interactivity into algorithm that generates a class diagram for a desired web/mobile app with GPT-3 and NLP
  • Developing webapp for user to collaborate with GPT-3 on generating an app design with text input and selection prompts
  https://arxiv.org/abs/2210.11468

  This project was exciting to me because of the potential for it to transform the no-code/low-code space and because of the interesting challenges it has in refining the algorithm and harnessing GPT-3 in the right ways. I've also learned a ton working with Alex Gu, who has taught me how to ask the right research questions and build creative programs to test hypotheses.

• Figma

  June-Aug 2021

  Software Engineering Intern

  • Redesigned Figma signup and onboarding experiences with design for front-end, database, APIs, and state management
  • Implemented education admin and verification features, including banners, dashboard tips, and file permissions logic
  https://twitter.com/figma/status/1430985467030351875

  I grew so much with this project, learning how to build a feature end-to-end, from the user research discussion to the full launch. Special thanks to my amazing mentor Diana Chang, who helped me improve tons in my problem-solving and coding, my manager Matt Dailey, who supported me with my internship goals and taught me a lot about leading teams effectively and with empathy, and the rest of the Figma Growth team <3

• Facebook

  Jan-April 2021

  Software Engineering Intern

  • Developed search experience with filters and data logging for employees to find relevant roles at Facebook for referrals
  • Implemented full-stack system for ML recommendations for positions based on uploaded resume on referral forms

  This was my first time launching features to prod during an internship and I learned a lot about code planning, testing, and iterating. I'm super grateful for my mentor, Sara Sahabi, for supporting me 24/7 and helping me navigate a huge codebase, my team lead Carlos Sarmiento, for teaching me a lot about good code design, and my team PM Vik Mehta, for helping me explore my PM interests as well.

• Microsoft

  May-Aug 2020

  Software Engineering Intern

  • Redesigned Azure Static Web Apps to be able to integrate into other low-code/no-code platforms and code editor extensions
  • Developed back-end infrastructure and APIs for app deployment and content distribution, cutting deployment time by up to 75%
  https://azure.microsoft.com/en-us/products/app-service/static/

  I was such a noob at the start of this internship, just learning the ropes of version control, debugging, and contributing to a large codebase, and my mentor, Joseph Lin, supported me a ton throughout all of that. I'm also grateful for my manager, Mitch Webster, for supporting me as well and including me in the design discussions, and for Zhe Yang, for making me feel so welcome on the team.

• PatientPort

  May-Aug 2020

  Software Engineering Intern

  • Enabled patient communications and data collection through web application for healthcare centers in Germany
  • Worked on end-to-end process for appointment booking and post-surveys in order to facilitate telemedicine at a client’s office

  This was a super cool opportunity to learn how to build features for a specific customer and how a startup team runs on a daily basis. Huge thank you to Aparna Pande for bringing me on and helping me improve as a dev in my early days :)

• MIT CSAIL: Distributed Robotics Lab

  March-June 2020

  Undergraduate Researcher

  • Developer fabric defect detection device with binary and siamese machine learning models, using Python and TensorFlow
  • Implemented ML explainability with visualization using a back-propagation algorithm to assist workers in textile manufacturing
  https://www.csail.mit.edu/research/distributed-robotics-laboratory

  This was so intellectually interesting since I got to read different papers and learn how to build and compare specific ML algorithms. I'm so grateful I had Alexander Amini as my mentor, who supported me a ton and further inspired my fascination for how to build ML explainability and more unbiased and equitable systems through his work.

• MIT Media Lab: CityMatrix Group

  Jan-March 2020

  Undergraduate Researcher

  • Developed computer vision program for a smart home to assist in tasks or emergencies for elderly users, using Python and HTML
  • Implemented human body pose detection to track standing, sitting, or lying positions over time using OpenCV and heuristics
  https://www.media.mit.edu/projects/citymatrix/overview/

  This was my first time contributing to a university research project and I'm super thankful for Dr. Ryan Zhang for the exciting project discussions and for further inspiring my love for social impact tech.