Hello, World.

I'm Yogesh Chockalingam.

Software Engineer

More About Me

Let me introduce myself.

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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.


More about me.


Master of Science

Computer Science
2017 - 2019

University of Wisconsin-Madison

Big Data Systems, Machine Learning, Computer Vision, Data Visualization

Bachelor of Engineering

Computer Science
2011 - 2015

PES University

Algorithms, Data Structures, Databases, Cloud Computing, Big Data, Web Technologies, Mobile Systems, Operating Systems, Computer Architecture, Computer Networks, Parallel Computing

Work Experience

Software Engineer II

Jul 2019 - Present
San Diego, CA

Intuit Inc.

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

Intuit Inc.

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.

Software Engineer II

Feb 2017 - Aug 2017
Bangalore, India

Intuit Inc.

Built and launched TurboTax on the Windows 10 App Store, in a span of 60 days with high quality.

Software Engineer I

August 2015 - Jan 2017
Bangalore, India

Intuit Inc.

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

Intuit Inc.

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%.


Montréal AI Symposium


DeepRepair: A framework for error detection and correction

Built a system to detect and correct errors in a dataset via embeddings, using deep learning models.

View Paper

IEEE International Conference on Signal and Image Processing


Driver Fatigue Detection System

Research and experimental findings on a system to monitor and detect driver fatigue in real time.

View Paper
Awards and Recognition


Musings of the mind.