Prashant Bajpayee

Product Manager

Stavanger, Rogaland, Norway18 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

18+ years in product management and AI/ML solutions.
Expert in driving AI adoption across organizations.
Proven track record in product strategy and development.

Stackforce AI infers this person is a Product Manager with expertise in AI/ML solutions and engineering in the energy and telecommunications sectors.

Contact

Skills

Core Skills

Product StrategyMachine LearningData ScienceEmbedded SystemsSignal Processing

Other Skills

Algorithm developmentResearchMultiphase flow metersAnalyticsModelingMathematical modelingSoftware developmentSensor fusionDSP algorithmsSpeech processingPythonLarge Language Models (LLM)Large Language Model Operations (LLMOps)SimulinkMatlab

About

A seasoned professional with 18+ years at the intersection of product management and AI/ML solution development, I specialize in transforming complex challenges into strategic opportunities. Currently, as Global Product Manager for Subsea Solutions at Emerson, I spearhead product roadmap and strategy to deliver cutting-edge solutions. My contributions extend to driving AI adoption across Emerson and playing a pivotal role in EU CRA implementation for Roxar. My expertise, honed through past roles as Sr. Data Scientist, AI Engineer, and Solution Architect, encompasses Artificial Intelligence, Gen AI/LLM, Machine Learning, and comprehensive Product Strategy.

Experience

18 yrs 5 mos

Total Experience

2 yrs 7 mos

Average Tenure

2 yrs 7 mos

Current Experience

Emerson

Global Product Manager, Subsea Flow Metering

Nov 2023 – Present · 2 yrs 7 mos · Sandnes, Rogaland, Norway · On-site

Product Strategy

Cognizant

Senior Manager

Mar 2019 – Oct 2023 · 4 yrs 7 mos · Stavanger Area, Norway

Technipfmc (multi phase meters as)

Senior metering Engineer

Jun 2014 – Feb 2019 · 4 yrs 8 mos · Stavanger Area, Norway

Algorithm development and research on multiphase flow meters

Algorithm developmentResearchMultiphase flow metersMachine Learning

Tata consultancy services

Data Scientist

May 2013 – Jun 2014 · 1 yr 1 mo · Bengaluru, Karnataka, India

I worked in Analytics & Insight group in TCS on a GE Turbine modeling project.

AnalyticsModelingData Science

Geograf as norge

ML engineer in 4D seismic surveys

Nov 2010 – Apr 2013 · 2 yrs 5 mos · Sandnes, Norway

We conceptualized a real-time navigation system for 4D seismic surveys. I was responsible for developing mathematical and software models for prediction and position estimation for real time streamer control . I was also part of recruitment team for technical roles

Mathematical modelingSoftware developmentMachine Learning

Aurora integrated systems pvt ltd

R&D Engineer for sensor fusion, signal priocessing

Apr 2009 – Oct 2010 · 1 yr 6 mos · Bangalore

I was responsible for developing sensor fusion models and various filtering schemes to be used in unmanned air vehicle autopilot. The work involved mathematical conceptualization, simulation and verification of models in matlab/simulink as well as architecture design and development of embedded C code to be used in dsp chip and processors

Sensor fusionSignal processingEmbedded Systems

Anveshan telecom pvt ltd

DSP Engineer

Aug 2007 – Mar 2009 · 1 yr 7 mos

My work involved design and implementation of dsp based algorithms for various applications in Speech processing and communication systems e.g. VAD, modem design. I was also part of recruiting and interviews for expanding the technical team

DSP algorithmsSpeech processingSignal Processing

Clemson university, south carolina, us

Summer Internship

May 2005 – Jul 2005 · 2 mos

First international participant in SURE program funded by National Science Foundation, USA.
Research objective was to improve the performance of spectrum monitoring for channel selection in Cognitive Radio which involved the development and simulation of a mathematical model of channel monitoring function in CR. Later part involved simulation and analysis of the effect of time-varying interference in each channel and design trade-offs that result.