# Rahul Nimbalkar

> Engineering Leadership

Location: San Jose, California, United States
Profile: https://flows.cv/rahulnimbalkar

At Meta, my focus as a Software Engineer has been on pioneering comprehensive solutions for mobile platforms. My journey in the tech industry is marked by a steadfast commitment to enhancing user experiences and ensuring robust app functionality. 

Previously, the development and deployment of Norton's flagship router, the Norton Core, allowed me to harness the potential of machine learning and network security. Our team's collaborative efforts resulted in a secure and intuitive ecosystem for home networks, reflecting our dedication to innovation and excellence in software development.

## Work Experience
### Software Engineer @ Sunday
Jan 2025 – Present | San Francisco Bay Area

### Software Engineer @ Facebook
Jan 2019 – Jan 2025 | Menlo Park, California, United States

### Senior Software Engineer @ Symantec
Jan 2018 – Jan 2019 | Mountain View, California, United States
Working on Norton's flagship router, the Norton Core that is responsible for protecting home networks. Norton Core iOS app was written in Swift as well Android app that used secure BLE to communicate with the Norton Core.

### Software Architect @ Nokia
Jan 2016 – Jan 2018 | Sunnyvale, CA
Family Care - A service targeted to meet needs of families, especially those with elders or kids where it is important to know how family members are doing including where they are and whether they have been active, how their activity or sleep is trending, etc. iOS/Android app showcased at MWC 2018 under an "Aging in Place" demo category. Integrated with Nokia Networks smarthome system that added insights from other IoT devices in the home (like smart refrigerators, pillbox sensors, door sensors, etc.)

Integrated machine learning algorithms to predict the current steps count for each user.

### Software Architect @ Nokia
Jan 2010 – Jan 2016 | Sunnyvale, CA
From Nokia, a re-imagined way to use your Android. Adapts to you. Launches anything in one second.
Throughout the day, Nokia Z Launcher is learning how you use your phone and promoting your favorite apps so you can get to them faster. The more you use it, the better it gets. Applied Machine learning algorithms to predict and recommend apps

IT’S SO SIMPLE
*Scribble – Scribble a letter to find what you want
*Launch – Apps, contacts, or websites
*Adapt – It learns to promote the right stuff at the right time


## Education
### Master of Computer Science
Pune University


## Contact & Social
- LinkedIn: https://linkedin.com/in/rahulrnimbalkar

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Source: https://flows.cv/rahulnimbalkar
JSON Resume: https://flows.cv/rahulnimbalkar/resume.json
Last updated: 2026-04-10