D

Deepak Diwakar

Co-Founder

Pune, Maharashtra, India17 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Co-Founder of a leading sales readiness platform.
  • Expert in scalable data architectures and machine learning.
  • Proven track record in optimizing ad technologies.
Stackforce AI infers this person is a SaaS and Ad Tech expert with strong capabilities in machine learning and scalable architectures.

Contact

Skills

Core Skills

Product DevelopmentMachine LearningAnalyticsHadoopDistributed Systems

Other Skills

ScalabilityCloud ComputingUser ExperienceBig DataAlgorithmsMobile Applications

Experience

17 yrs 10 mos
Total Experience
9 yrs
Average Tenure
14 yrs 9 mos
Current Experience

Mindtickle

Co-Founder

Aug 2011Present · 14 yrs 8 mos

  • MindTickle is a category defining "sales readiness" platform. It enables business leaders to ensure that their customer facing teams are always on top of their game. MindTickle makes employee readiness scalable, measurable and effective by infusion of data driven approach.
  • The world recognised #1 gamification & social readiness platform has proven 90% adoption across hundreds of deployment .
HadoopDistributed SystemsScalabilityProduct DevelopmentCloud ComputingUser Experience+5

Pubmatic

2 roles

Senior Software Engineer(Machine Learning)

Promoted

Mar 2010Sep 2011 · 1 yr 6 mos

  • Architect - designed and developed large scale frame-work which includes hadoop and its echo-system . The architecture scaled cross geo- cross clusters over 100s of nodes and comfortably handles tons of data on daily basis.
HadoopMachine LearningDistributed Systems

Software Engineer (Machine Learning)

Jun 2008Apr 2010 · 1 yr 10 mos

  • Mainly working on Machine Learning algorithms for ad-optimization, Geo targeting and large scale data crunching and simulations
Machine LearningAlgorithms

Laboratory of informatics, avignon, france

Research Scholar(Intern)

May 2007Jul 2007 · 2 mos

  • I developed a mac layer protocol(Named "REFOT") in Ad-hoc networks to ensure fairness among the channel competitors as well as to enhance the system throughput. Work has been published into ICC'08

Education

Indian Institute of Technology, Bombay

B.Tech. — Computer Science & eEngineering

Jan 2004Jan 2008

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