Jan 2024 – May 2025 · 1 yr 4 mos

Aug 2022 – Jan 2024 · 1 yr 5 mos

Jun 2021 – Aug 2022 · 1 yr 2 mos

Mar 2020 – Jun 2021 · 1 yr 3 mos · Bangalore · On-site

• Project Name : Data Intelligence
• ◦ Worked on Federated Learning, a machine learning framework which ensures data privacy. This solution shifts the model training to edge devices which increases data privacy compliance and an estimated 75% cost reduction in server.
• ◦ Built on-device and server-based ML models to detect user’s context and intent. Above solutions are
• part of 90% of Samsung devices including flagship ones

Mar 2018 – Mar 2020 · 2 yrs · Bangalore · On-site

• Project Name : Data Intelligence
• ◦ Worked on designing and developing the user profiling and customization platform of Samsung devices.
• ◦ Developed machine learning models and deployment on device to ensure user privacy. This solution
• is part of all Samsung devices starting from Note 10.

Jun 2016 – Mar 2018 · 1 yr 9 mos · Bangalore · On-site

• ◦ Worked on designing and developing the Samsung Cloud Content Sync Solution and Samsung Cloud
• Gallery.
• ◦ Visited Samsung HQ, Seoul (Feb’18 - Apr’18) to support Cloud Gallery features for Note 9.
• ◦ Worked on designing and developing the backup and restore solution for Secure Folder Container
• based on Samsung Cloud.
• ◦ Visited Samsung HQ, Seoul and Samsung Research, Noida to finalize the integration of new features
• such as Find My Mobile Backup and Apps Backup and Restore with stakeholders which were part of
• Galaxy S8.

May 2015 – Jul 2015 · 2 mos · Bengaluru, Karnataka, India · On-site

• Project Name : MicroSD Development Test Enhancement
• ∗ Worked on optimizing the Test framework of microSD development and enhancing the emulator.
• Increased Test Coverage from 60% to 75%.