Prabhaker Sharma

Senior Software Engineer

Bengaluru, Karnataka, India22 yrs 6 mos experience

Highly Stable

Key Highlights

Expert in distributed systems and big data technologies.
Proven track record in enhancing user experiences.
Strong background in machine learning and algorithms.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Big Data and Distributed Systems.

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Skills

Other Skills

JavaAlgorithmsDistributed SystemsData StructuresHadoopMultithreadingSoftware DevelopmentMachine LearningBig DataScalabilityShell ScriptingAgile MethodologiesLinuxNLPMapReduce

Experience

22 yrs 6 mos

Total Experience

2 yrs 9 mos

Average Tenure

5 mos

Current Experience

Uber

Senior Staff Engineer

Nov 2025 – Present · 5 mos

Salesforce

Software Architect

Sep 2024 – Oct 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India

Google

2 roles

Software Engineer

Nov 2021 – Sep 2024 · 2 yrs 10 mos

Discover Ads

Software Engineer

Dec 2019 – Nov 2021 · 1 yr 11 mos

Geo Monetization

Uber

Senior Software Engineer

Mar 2018 – Dec 2019 · 1 yr 9 mos · San Francisco Bay Area

Walmart global ecommerce

Staff Software Engineer

Jan 2016 – Mar 2018 · 2 yrs 2 mos · Sunnyvale

Microsoft

Software Developer - Bing

Dec 2013 – Jan 2016 · 2 yrs 1 mo · Bellevue, WA

Worked on personalized user experience on Bing Homepage.
Worked on Media ingestion pipeline, ingesting terabytes of data using internal MapReduce compute and storage infrastructure providing search experience on XBox.

Yahoo

Principal Engineer - Y! Answers

Sep 2011 – Nov 2013 · 2 yrs 2 mos · Bangalore

Worked on Content Quality module to assess the quality of answers in Y! Answers. It involves computing multiple text & user reputation features and classification using Logistic Regression classifier.
Improved 'Related Questions' module to use SEO based meta-data, recommending better questions to search query. Effective improvement is ~2X in CTR.
Worked on Question Recommendation engine, which recommended question based on user's answering history.
Worked on various classification & recommendation algorithms like LDA, Naive Bayes, TFIDF etc.