I'm a software engineer working at Intuit Credit Karma. At Intuit Credit Karma, I focus on building scalable, data-driven features that simplify financial decisions for millions of users. My work bridges the gap between complex backend logic and intuitive front-end experiences, particularly within the Easy Apply / Lightbox Platform.
Currently, I am focused on:
- Integrating AI-driven capabilities into our platforms to create more conversational and accessible user interfaces.
- Optimizing the application lifecycle by architecting logic layers that reduce friction.
- Collaborating across cross-functional teams to deliver high-impact integrations, such as the Lightbox Everywhere initiative with QuickBooks.
With a background in Software Engineering and Data Science, I am passionate about leveraging full-stack development and Machine Learning to build impactful, user-centric products.
- Petals to the Metal - Flower Classification on TPU.
- Cardiovascular Disease Detection. Me and my team worked on a Kaggle dataset to predict the likelihood of cardiovascular disease in a person.
- Drowsiness Detector. This was done as a part of a graduate course. The app was designed for drivers to detect if the person has slept while driving. The final application is also deployed on heroku and uses Twilio api (trial account) to send SOS messages.
- 🔭 I’m currently working on some Deep Learning and Artificial Intelligence course projects.
- 😄 Pronouns: He/Him/His
- ⚡ Fun fact:
