Gautam Ganesh
Summary
Proven R&D Program Manager with expertise in securing funding and leading digitalization projects. Recognized for driving innovation and strategic initiatives in industrial applications. Experienced practitioner in semantics and data engineering, with a strong focus on knowledge graphs (KG), ontology modeling, data engineering, and GenAI.
Overview
11
11
years of professional experience
Work History
R&D Program Manager
Siemens
10.2021 - Current
- Generated over €600,000 in funding through the Gas Turbine Digitalization program with Siemens Energy.
- Successfully led an engineering schematic digitalization project, digitalizing over 200 piping and instrumentation diagrams across 8 plants for 2 customers.
- Authored multiple invention disclosures, with significant business adoption in knowledge graph technologies for industrial applications.
- Developed and secured funding for strategic proposals aligned with Siemens' industrial digitalization initiatives, resulting in multi-year customer engagements and expanded use cases.
Lead Researcher
Siemens
05.2019 - 10.2021
- Served as the Technical Service Owner for the Gas Turbine Digital Twin project for three years, leading a cross-functional team.
- Architected semantics ontologies and services for automated knowledge graph management and transformation.
- Instructed the Knowledge Graph and Semantics module in the Siemens Data Architecture Training program, training over 100 software architects.
Finance Risk Technology Associate
JP Morgan Chase Pvt Ltd
08.2018 - 04.2019
- Built end-to-end data sourcing and enrichment pipelines for loans and commitments businesses to be reported to the Fed.
- Develop controls and checks at each stage of the processing pipeline to ensure the integrity of the data
Technology Analyst
Goldman Sachs
07.2015 - 08.2018
- Implemented pipelines to source FICC transactions data stored in multiple data stores; transform them to a common model.
- Implemented ETL processes to onboard existing Market Risk data flows onto an analytics framework shared by various risk functions in the firm.
Research Intern
Oak Ridge National Laboratory
06.2014 - 08.2014
- Explored scalable graph analytic approaches on massive, heterogeneous graphs that cannot be handled on traditional, commodity hardware.
- Benchmarking different parallel implementations of scalable graph mining algorithms on different platforms and architectures.
Education
Master of Science - Computer Science
The University of Texas At Dallas
Dallas05-2015
Bachelor of Science - Computer Science
College of Engineering, Guindy (Anna University)
Chennai05-2013
Skills
- R&D management
- Digitalization strategy
- Project funding acquisition
- Cross-functional collaboration
- Innovation proposal development
- Strategic planning
- Data engineering and analytics
- Data modeling and knowledge graphs
Awards
- ECS Jonsson Graduate Scholarship - The University of Texas at Dallas
- ACM SIGSPATIAL GIS 2013 Student Travel Award - National Science Foundation
Timeline
R&D Program Manager
Siemens
10.2021 - Current
Lead Researcher
Siemens
05.2019 - 10.2021
Finance Risk Technology Associate
JP Morgan Chase Pvt Ltd
08.2018 - 04.2019
Technology Analyst
Goldman Sachs
07.2015 - 08.2018
Research Intern
Oak Ridge National Laboratory
06.2014 - 08.2014
Master of Science - Computer Science
The University of Texas At Dallas
Bachelor of Science - Computer Science
College of Engineering, Guindy (Anna University)
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