Software Engineer

Aisiri Murulidhar

916-***-**** ********@*****.*** linkedin.com/in/aisiri-murulidhar Brooklyn, NY Education

University of Massachusetts, Amherst – Commonwealth Honors College, 2019 GPA: 3.5 Major: Computer Science, Economics

Skills/Other Involvement

• Proficient in Python, Golang, Java, C++, SQL

• Society of Women in Engineering

• Experience with Typescript, Mathematica, html, CSS, JavaScript, Flask, Scikit Learn, NumPy, SciPy, Pandas Experience

Software Engineer – Google, Seattle 2019 – 2022

Service Governance Team

• Tested the team’s new software service release checker tool and helped the team transition to this tool by paying close attention to clients’ experiences with it and promptly fixing bugs as and when they were discovered.

• Streamlined a complex triage process and cleanly integrated it into the team’s software service release checker tool. This made the service release checking process much more user friendly and easier to navigate.

• Developed a database to keep track of all of the services released using our tool and wrote a guide describing SQL queries that can be used to edit and add to the database and to search for specific services using the various features stored in the database.

• Work with other teams to facilitate their understanding of our process and tool. Google.org Fellowship –

• Worked with a small group of fellows and the city government of Detroit’s Housing and Revitalization department (HRD) to develop an affordable housing search tool for low-income residents.

• Parsed large datasets and developed features to display relevant data on housing listings.

• Collaborated with members of HRD and presented new features to them and their higher ups. Pixel Research Team Rotation – Designed and implemented an automated pipeline to read, aggregate, process and label images used to improve the Google Pixel camera image recognition software. Cloud UI Team Rotation – Built a test manager to reduce test flakiness and test environment resource usage. Data Science Intern – Nuveen, San Francisco Summer 2018

• Researched and applied machine learning methods to predict factor returns using macroeconomic data.

• Worked with senior analysts to design machine-learning models and conduct experiments on large datasets. Software Engineering Intern – Staples.com, Seattle Summer 2017

• Wrote a JSON processing JavaScript application to improve data readability and accessibility for non-technical users.

• Designed and built a front-end application to streamline an existing experimentation platform running lengthy python scripts to replace a multi step process with an automated one.

• Presented projects and various initiatives to CTO and VP of Products. Undergraduate Researcher – Data Science Center, University of Massachusetts 2018 – 2019

• Worked on a project that determines the fairness of facial recognition software systems using machine-learning techniques.

Relevant Schoolwork

Article Title Analysis – Built and analyzed a model that finds the correlation between words in an article title and the article’s hits on social media using Python and a web scraper.

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