# Neil Argade

> Senior Software Engineer at Google

Location: San Francisco, California, United States
Profile: https://flows.cv/neilargade

Electrical Engineering & Computer Science (B.S.) - UC Berkeley - Class of 2017

Skills Include: Python, Java, C, HTML, CSS, Javascript (Node.js, React)

Software Engineering Intern - Box - 2016
Software Engineering Intern - Zillow - 2015
Regents & Chancellor's Scholar (RCSA) - UC Berkeley - 2013-2017
Valedictorian - Mission Viejo High School - 2013
Founder - Stash - 2014-2015
Project Manager (Teespring, LevelUp) & Executive- Venture Strategy Solutions - 2015-2016
Top 15 Tech Innovations - European Innovation Academy - 2014

Feel free to check out my website at http://www.neilargade.com/.

## Work Experience
### Senior Software Engineer @ Google
Jan 2017 – Present | San Francisco, California, United States
Reduced latency on the Search homepage by optimizing JavaScript size. 
Developed an internal cross-platform server-driven rendering library to update UIs without waiting for client releases.
Automated code generation for UX designers to update UIs without engineer involvement.

### Software Engineer Intern @ Box
Jan 2016 – Jan 2016 | Redwood City, CA
I worked on the File System team restructuring a feature for the administrative console, designing a new method for transferring files to avoid file corruption and locking conflicts in PHP.  I created the service that allowed a user’s content to be transferred to another in an asynchronous process and by batches, which eased load on the database and generated fewer errors than the antiquated synchronous method.

### Software Developer Intern @ Zillow
Jan 2015 – Jan 2015 | Irvine
I used C# to analyze public housing transaction data to pull out certain information that we were interested in.  Using the data I gathered, I wrote a Node.js and React.js application to match buyers and sellers in the Diverse Solutions database - Diverse Solutions is a subsidiary of Zillow - with the buyers and sellers in the public data.  This allowed us to determine whether or not Diverse Solutions closed a deal for an agent.
Second, I used Amazon Machine Learning to determine whether or not a certain user would contact an agent on the website.  I gathered data from our database as well as ran certain algorithms (cosine similarity) on the data to represent it in a certain way.  I generated a CSV with the data I created and analyzed and then fed that to Amazon Machine Learning.  The data I made turned out to be very linearly separable, but it needs a little more refinement to move forward in the research process.
Skills Learned: Javascript (Node.js, React.js), C#


## Education
### Bachelor of Science (B.S.) in Electrical Engineering and Computer Science
University of California, Berkeley
Jan 2013 – Jan 2017

### Mission Viejo High School
Jan 2009 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/neil-argade-19741693
- Website: http://www.neilargade.com

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Source: https://flows.cv/neilargade
JSON Resume: https://flows.cv/neilargade/resume.json
Last updated: 2026-03-22