About
I am currently working at Sensi.AI, where I own our revenue and billing operations pipeline end-to-end and use AI tools to automate, improve, and scale the process. I work cross-functionally across Product, Engineering, Finance, Customer Success, and Sales, which has given me a view of how every part of the business actually works.
I graduated from Cornell University's College of Engineering in May 2025, studying Information Science, Systems, and Technology with a concentration in Data Science and UI/UX. My interests are at the intersection of Data, Operations, and Product, and I am always looking to improve my technical and AI toolset.
Outside of work, I am a big New York sports fan and have spent 15+ years around competitive swimming, as both an athlete and a coach.
Experience
Sensi.AI · Austin, TX
Own the Agency Management System (AMS) billing operations pipeline end-to-end across 200+ homecare agency clients. Manage the data and workflow layer for our core AI voice agent, building HubSpot pipelines that track key metrics across hundreds to thousands of daily interactions. Built an internal analytics platform using Lovable and Claude that scores team performance on client calls, now used daily by the team and management.
AtScale · Boston, MA
Built and maintained a centralized analytics hub and dataset models for customer-facing demos. Partnered with Product and Engineering to develop onboarding documentation and streamline workflows.
REZI · New York, NY
Developed web and mobile features in Java and MySQL across backend, frontend, and database layers. Worked within a 12-person engineering team through Agile sprints.
Cornell University, Civil & Environmental Engineering · Ithaca, NY
Built a Python program modeling cooling method efficiency using Cornell energy datasets under Dr. Qi Li. Designed data visualizations to communicate findings to faculty and facilities staff.
Projects
World Happiness Report Dashboard
R / Shiny
Interactive dashboard analyzing Kaggle datasets on the World Happiness Report, with visualizations across countries and years.
2020 Election Voter Analysis
HTML / JavaScript
Interactive visualization mapping socioeconomic data by county and how each area voted in the 2020 election.
Olympics Data Analysis
R
Analyzed a Kaggle dataset covering Summer and Winter Olympics, exploring trends across countries and years.
Skills