I'm a backend software engineer at Intuit, working on web services. My areas of interest include designing and building high-performance microservices. I'm currently exploring gRPC and functional programming.
My academic and personal projects can be viewed on GitHub.
Computer Science
2017 - 2019
Big Data Systems, Machine Learning, Computer Vision, Data Visualization
Computer Science
2011 - 2015
Algorithms, Data Structures, Databases, Cloud Computing, Big Data, Web Technologies, Mobile Systems, Operating Systems, Computer Architecture, Computer Networks, Parallel Computing
Jul 2019 - Present
San Diego, CA
Backend software engineer, TurboTax Online. I work on business critical web services responsible for orchestration, experimentation and interview-style dynamic UI and navigation.
May 2018 - Aug 2018
San Diego, CA
Drove the backend design and implementation of the Employee Purchase Program to provide employees with discounted Intuit products via vouchers. Designed the database schema and created tables on AWS DynamoDB to track vouchers issued to employees. Implemented a RESTful Java service to perform CRUD operations on the database.
Feb 2017 - Aug 2017
Bangalore, India
Built and launched TurboTax on the Windows 10 App Store, in a span of 60 days with high quality.
August 2015 - Jan 2017
Bangalore, India
Developer in TurboTax desktop, MacOS and Windows. Delivered key business features including a contextual tax query system and a co-browsing experience to connect users with tax experts. Improved product quality by adding a tool for crash reporting and analysis. Reduced crashes by roughly 40% over a year.
January 2015 - June 2015
Bangalore, India
Imported business and financial data from QuickBooks into TurboTax using REST APIs, thus jump starting a tax return. This helped reduce the time spent on preparing a tax return by 20 minutes and data entry errors by 15%.
2019
Built a system to detect and correct errors in a dataset via embeddings, using deep learning models.
View Paper2016
Research and experimental findings on a system to monitor and detect driver fatigue in real time.
View Paper