Experience

Software Engineer

• Employee #32. Built enterprise flows that generated $10M+ in revenue and served 20K+ healthcare providers
• Built prior authorization tooling, document upload and notification flows, and async orchestration systems
• Developed customer support tooling with an LLM and RAG system handling 2,000+ tickets daily
• Led engineering for signup and onboarding, including fax verification and EHR integration setup

Forus truly felt like a rocketship and I'm grateful to get to continue to cheer on Sahir and the rest of the brilliant team.

Software Engineer

• Helped launch and scale a neobank to 2500+ customers and 5M+ in transaction volume
• Built cross border and ACH transfer flows including 3rd party integrations, transaction data models, recipient compliance checks, user notifications, and internal dashboards
• Developed critical cron jobs and back-end flows for in-house lifecycle marketing, customer due diligence, algorithmic risk monitoring, and partner data ingestion
• Worked on devops and infrastructure improvements, including setup scripts, streamlined cron job deployment with Kubernetes, and increased service availability

Alza was my bootcamp as a junior software engineer and aspiring founder. The team - Arturo, David, etc. were incredible mentors and people to work with.

Associate Product Management Intern

• Researched and designed hotel advertisement algorithm that surfaces most relevant booking dates based on search input and availability, including Figma mockups and PRD
• Pushed forward hotel ads experiment through approvals, implementation, and partner strategy development, including auction pricing model and predicted ARR impact

I'm grateful to my mentors, especially Anurag Jain, for teaching me to ask the right product questions, model outcomes, and test hypotheses.

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

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.

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

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.

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

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

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.

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%

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.

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 :)

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

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.

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

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.