Pranav Sakulkar

AI Researcher

San Francisco, California, United States9 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Ph.D. in Online Learning from USC.
Expert in Machine Learning and Deep Learning.
Developed impactful algorithms for major tech companies.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Telecommunications and MarTech.

Contact

psakulkar@apple.com LinkedIn

Skills

Core Skills

Machine LearningDeep LearningCloud ServicesData ScienceDocument ClassificationTelecommunicationsResearchSignal Processing

Other Skills

AlgorithmsBlind Speech SeparationCC++Data AnalysisData MiningDigital MarketingDynamic Point SelectionGNU RadioIEEE 802.11ahLaTeXLinuxMatlabPrincipal Component AnalysisProgramming

About

Experienced Machine Learning Engineer with a demonstrated history of working in the top tech companies and building production systems impacting critical metrics. Skilled in Data Science, traditional ML, Deep Learning, Java, Go, Python. Strong research professional with a Doctor of Philosophy (Ph.D.) focused on Online Learning from University of Southern California.

Experience

Apple

2 roles

Machine Learning at Ads Platforms

Mar 2022 – Present · 4 yrs

Machine LearningDeep Learning

Machine Learning at Apple Cloud Services

Jan 2018 – Mar 2022 · 4 yrs 2 mos

Machine LearningCloud Services

Adobe

Data Science, Digital Marketing

May 2017 – Aug 2017 · 3 mos · San Jose, CA

Developed Deep Learning algorithms using variants of Recurrent Neural Networks (LSTMs, GRUs) for early prediction of shopping cart abandonment from user activity.

Deep LearningRecurrent Neural NetworksDigital MarketingData Science

The world bank

Machine Learning Consultant

May 2016 – Jul 2016 · 2 mos · Washington D.C. Metro Area

Developed a Python based document classification system using Machine Learning techniques for labeling the project completion documents of the previous World Bank funded projects

PythonMachine LearningDocument Classification

Indian institute of science

Machine Learning Researcher

Mar 2014 – Jul 2014 · 4 mos · Bangalore, India

Developed Machine Learning algorithms for dynamic point selection (DPS) in coordinated multi-point (CoMP) transmission in LTE-advanced.

Machine LearningDynamic Point SelectionTelecommunications

Qualcomm

Research Intern

Sep 2013 – Feb 2014 · 5 mos · Nuremberg, Germany

Worked on system level development of a modem based on IEEE 802.11ah standard in the corporate research and development (CRD) group.

IEEE 802.11ahSystem DevelopmentResearchTelecommunications

Rwth aachen university

Student Assistant

Aug 2011 – Jul 2012 · 11 mos · Kreisfreie Stadt Aachen Area, Germany

Worked on implementation of optimal resource allocation algorithms for OFDM on GNU Radio in the Institute for Theoretical Information Technology at RWTH.

Resource Allocation AlgorithmsGNU RadioResearchTelecommunications