Rahul Nimbalkar

Engineering Leadership

San Jose, California, United States

About

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.

Experience

  • Software Engineer at Sunday
    Jul 2025 - Present · 1 yr 1 mo

  • Software Engineer at Facebook
    Jun 2019 - Apr 2025 · 5 yrs 11 mos

  • Senior Software Engineer at Symantec
    May 2018 - May 2019 · 1 yr 1 mo

    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.

  • Nokia ()
    • Software Architect
      Feb 2016 - May 2018 · 2 yrs 4 mos

      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
      Dec 2010 - Jan 2016 · 5 yrs 2 mos

      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