Mohib Manva

Senior Software Engineer

Hyderabad, Telangana, India7 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Experienced in large-scale data management.
  • Proficient in developing algorithms for data analysis.
  • Strong background in distributed systems.
Stackforce AI infers this person is a Software Engineer with expertise in SaaS and large-scale data systems.

Contact

Skills

Other Skills

CJavaScriptSQLCascading Style Sheets (CSS)MySQLData StructuresAlgorithms

About

Experienced Software Engineer with a demonstrated history of working in the internet industry. Skilled in C++, Java, Algorithms, Data structures and Distributed systems. Strong engineering professional with a Bachelor's degree focused in Information and communication technology from Dhirubhai Ambani Institute of Information and Communication Technology.

Experience

7 yrs 10 mos
Total Experience
3 yrs 11 mos
Average Tenure
7 yrs
Current Experience

Google

4 roles

Staff Software Engineer

Promoted

May 2025Present · 1 yr

Senior Software Engineer

Oct 2022Present · 3 yrs 7 mos

Software Engineer III

Promoted

Nov 2020Oct 2022 · 1 yr 11 mos

Software Engineer II

Apr 2019Oct 2020 · 1 yr 6 mos

  • Google Pay

Sprinklr

3 roles

Product Engineer

May 2018Mar 2019 · 10 mos · Gurgaon, India

  • Sprinklr is platform for big brands to manage their hundreds of social media accounts. Volume of messages coming into platform is very huge, we work on such large scale data to provide advanced and automated customer care solution to manage their social media profiles.

Software Development Intern

Jan 2018Apr 2018 · 3 mos · Gurgaon, India

  • I worked on mainly upgrading elasticsearch (from V1 to V5) in this period of internship, this upgrade required reindexing of all the data. I migrated elasticsearch clusters from ES1 to ES5 with around 1B documents using mesos, with fault tolerance and 0 downtime.

Software Development Intern

May 2017Jul 2017 · 2 mos · Gurgaon, India

  • Sprinklr is social media management platform. The rate at which messages arrive at Sprinklr from various social media platforms differs from time to time. I have developed an algorithm to detect the anomalies in the rate of arrival of messages and detect the trends, using Moore's voting algorithm and T-Digest data structure with some static rules.

Education

Dhirubhai Ambani University

Bachelor's degree — Information and communication technology

Jan 2014Jan 2018

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