Surbhi Anand

Senior Software Engineer

Bengaluru, Karnataka, India9 yrs 11 mos experience

Key Highlights

Proven expertise in Azure and cloud technologies.
Strong background in search engine optimization and data analysis.
Experience in developing scalable software solutions.

Stackforce AI infers this person is a Cloud Computing and Search Engine Optimization expert.

Contact

Skills

Core Skills

AzureBackupData AnalysisBingSearch Optimization

Other Skills

RestoreIaaSWindowsLinuxString SimilarityCJavaMicrosoft OfficeHTMLData StructuresJavaScriptMicrosoft ExcelSQLPowerPointProgramming

About

Experienced Software Engineer with a demonstrated history of working in the computer software industry. Skilled in C++, C#, Azure, Designing Scalable products. Strong engineering professional with a Bachelor of Engineering (BE) Computer Science from National Institute of Technology. The impact technology can have on all of our lives amazes me and thus, I like applying technology and algorithms to solve real life problems. I look forward for a career path where I can benefit from the organization and use my abilities to the fullest. Know more about me at https://surbhianand.github.io

Experience

9 yrs 11 mos

Total Experience

2 yrs

Average Tenure

1 yr 11 mos

Current Experience

Databricks

Senior Software Engineer

Jul 2024 – Present · 1 yr 11 mos · Bengaluru

Rubrik, inc.

Software Developer

Jul 2021 – Dec 2021 · 5 mos · Bengaluru, Karnataka, India

Microsoft

2 roles

Software Developer 2

Aug 2019 – Jul 2021 · 1 yr 11 mos · Hyderabad Area, India

Working on enabling seamless backup and restores for IaaS virtual machines(Windows and Linux) and disks.
Worked on Crash-Consistent Azure disk backup for both the backup and the restore story.
Worked on providing backup and restore capabilities for Write Accelerator disks which are an official recommendation for SAP HANA workload for faster disk writes.
Worked on App-consistent and File-Consistent backups for Azure IaaS VMs.
Worked on surfacing new answers at bing.com for queries using 2 string similarity model.