Praveen Sampath

Co-Founder

Bengaluru, Karnataka, India12 yrs 7 mos experience

Key Highlights

Co-founder of innovative AI and interview prep platforms.
Expert in machine learning and data engineering.
Led development of large-scale data solutions at LinkedIn.

Stackforce AI infers this person is a SaaS expert with strong capabilities in data engineering and machine learning.

Contact

Skills

Core Skills

Distributed SystemsData EngineeringMachine LearningStream ProcessingWeb Development

Other Skills

AlgorithmsApache SamzaApache SparkComputer ScienceData StructuresHadoopJavaJavaScriptJoomlaMatlabProgrammingSQLScalaSoftware DevelopmentSoftware Engineering

Experience

12 yrs 7 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 6 mos

Current Experience

Omni

Co-Founder

Sep 2025 – Present · 8 mos

Building Omni - an open-source AI Assistant and Search Platform for the workplace.

The interview lab (previously casepro)

Co-Founder

Nov 2024 – Present · 1 yr 6 mos

The go-to platform for case interview prep. Try it out at theinterviewlab.com

Thoughtspot

Staff Software Engineer

Apr 2023 – Oct 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India · Hybrid

Built conversational BI (business intelligence) powered by LLMs.

Google

Software Engineer

Sep 2021 – Apr 2023 · 1 yr 7 mos · Bengaluru, Karnataka, India

Designed and built ads pCTR models for the new Google B2B Shopping experience (which, in typical Google fashion, was killed before it saw the light of day).

Rubrik, inc.

Member Of Technical Staff

Aug 2019 – Sep 2021 · 2 yrs 1 mo · Bengaluru Area, India

Designed and implemented several improvements to Blobstore: a core component powering Rubrik's data backup and recovery solution.

ScalaDistributed SystemsfilesystemsData Engineering

3 roles

Senior Machine Learning Engineer

Promoted

Jan 2017 – Aug 2019 · 2 yrs 7 mos · Bengaluru, Karnataka, India

Led the initial efforts for building an in-house, human labeled data crowdsourcing platform for training machine learning models.
Trained and deployed ML models using XGBoost to detect and filter bad job recommendations on LinkedIn.

Data EngineeringMachine LearningApache SparkXGBoost

Software Engineer

Jul 2014 – Dec 2016 · 2 yrs 5 mos · Bengaluru, Karnataka, India

Contributed to the development of LinkedIn's in-house data analysis and metric computation platform on Hadoop and Spark.
Designed and built a stream processing solution for counting and reporting pageviews across all LinkedIn pages. Built workflows to enable product teams to verify and confirm pageview metrics to be reported in SEC filings.

Apache SamzaStream ProcessingHadoopApache SparkData Engineering