Kapil Mathur Email and Phone Number
As a Principal IoT and Edge Computing Lead with over 17 years of experience driving digital transformation and leading cross-functional teams in deploying advanced technologies such as AI, IIoT, Edge Computing, and HPC to improve business operations. I have spearheaded technology initiatives across the energy sector, leading teams to develop scalable solutions that enhance production or reduce deferment, improve energy efficiency, and ensure operational safety across downstream, midstream, and upstream operations. I have contributed in fostering innovation and established and managed strategic technical collaborations with academic institutions, research organizations, and startup ecosystem, accelerating the R&D and adoption of transformative technologies.My overall goal is to deliver optimised digital solutions for oil and gas assets while simultaneously contributing to integrated technology advancements. This includes improving the efficiency and scalability of AI models, particularly large language models (LLMs) and machine vision, through model compression and federated learning frameworks. The focus is on reducing energy consumption and enhancing the seamless integration of AI across asset infrastructure using edge and cloud computing.I have a solid foundation in programming, with expertise in languages like Python, C++, and FORTRAN, applied in high-performance computing, data science, and IoT. My experience in parallel programming (MPI, OpenMP, CUDA) has optimised large-scale simulations, reservoir modelling, and seismic workflows. I’ve also led AI-driven predictive maintenance projects using frameworks like PyTorch and TensorFlow, delivering impactful solutions across HPC, AI/ML, and IoT, particularly within the oil and gas industry.
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Principal Iot And Edge Computing LeadShellBengaluru, Ka, In -
Principal Iot & Edge Computing LeadShell Jul 2022 - PresentBengaluru, Karnataka, India
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Data Science ResearcherShell Jul 2019 - Jul 2022IndiaAs a Data Science Researcher my key responsibilities led a cross functional team in development of Predictive Asset Maintenance solution for Shell assets, optimization of energy for Shell retail store, following are the description of the key contributions.Smart Battery Solutions for Energy Transition:Developed smart battery solutions using Deep Reinforcement Learning (DRL) to improve home energy efficiency and increase the use of renewable energy sources, such as photovoltaic (PV) units. Integrated sensors from various home appliances to create robust data pipelines, optimizing energy consumption through DRL algorithms.Predictive Asset Maintenance for Shell Assets:Led the development of predictive maintenance algorithms for Shell assets, utilizing real-time sensor data and machine learning models to detect potential equipment failures and optimize maintenance schedules. These solutions minimized unplanned downtime, reduced costs, and extended the lifecycle of assets, improving reliability and performance.Risk Assessment Application:Collaborated with a team to develop an NLP-based document classification system and query-based search engine to automate document management and enhance information retrieval. This system enabled quick, accurate access to critical data, improving decision-making and operational efficiency. Leveraged the system to identify TECOP (Technical, Economic, Commercial, Organizational, and Political) risks, ensuring capital investments were guided by comprehensive insights and informed risk assessments.
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Machine Learning Specialist / Data ScientistShell Jan 2017 - Jul 2019Bengaluru Area, India / Nl AmsterdamKey Contributions:Predictive Asset Maintenance & Digital Twin Solutions:Collaborated in developing Digital Twin solutions for Predictive Asset Maintenance by integrating physics-based and data-driven models. This approach provided actionable insights across various Shell assets, optimizing maintenance and operational processes for enhanced asset management.Deep Learning & High-Performance Computing (HPC) Solutions:Designed and implemented scalable Deep Learning solutions using HPC to address complex business requirements. Focused on solving large-scale Deep Learning model challenges and handling terabyte-scale data through hybrid parallelization techniques, particularly in seismic fault detection.Statistical and Machine Learning Algorithms:Developed advanced statistical algorithms and machine learning techniques for Predictive Asset Maintenance, improving the reliability, performance, and lifecycle of Shell's assets.Machine Vision for Emergency Response:Led the implementation of machine vision solutions for object and face detection, supporting Shell's emergency response teams. Collaborated with third-party vendors to develop Proof of Technology concepts based on machine vision applications.
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Computational Software SpecialistShell Jun 2015 - Jan 2017Bengaluru Area, IndiaKey Contributions:Cloud Service Evaluation and Optimization:Evaluated various cloud provider services through performance benchmarking and cost-benefit analysis to align with in-house application requirements. Executed Proof of Concepts (PoCs) and pilot projects, ensuring optimized performance and cost efficiency for high-performance computing (HPC) workloads.Cloud Integration of On-Premise Computational Workflows:Developed and integrated on-premise computational workflows into the cloud, optimizing performance and scalability. This effort involved migrating HPC workloads to cloud environments while maintaining performance standards and minimizing latency.Integrated Digital Solutions for Downstream Operations:Developed integrated solutions leveraging IoT, machine vision (MV), data analytics, and cloud technologies to optimize downstream operations, including retail and refineries. Focused on enhancing operational efficiency, data-driven decision-making, and performance optimization across the value chain.
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Computational TechnologistShell Oct 2013 - Jun 2015Bengaluru / Nl RijswijkKey Contributions:Performance Analysis and Optimization Framework for HPC Applications:Designed and developed a comprehensive Performance Analysis and Optimization Framework tailored for High-Performance Computing (HPC) applications. This framework enabled systematic identification and resolution of performance bottlenecks to enhance computational efficiency.Optimization and Porting of In-House Software Applications:Led the performance analysis, optimization, and porting of in-house software applications in molecular dynamics, seismic imaging, ray-tracing, and reservoir modeling to next-generation platforms such as Xeon Phi, GPUs, and other accelerators. Ensured significant performance gains and resource efficiency on advanced architectures.Onsite Collaboration for Seismic Imaging and Ray Tracing Optimization:Collaborated onsite with geophysicists to implement performance and memory optimization strategies for seismic imaging and ray-tracing applications. These efforts facilitated the accurate modeling of complex geological structures, improving computational speed and resource utilization in geophysical modeling.
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Senior Technical OfficerC-Dac (Formerly Ncst) Jul 2011 - Oct 2013Pune Area, India / New Delhi / Assam JorhatKey Contributions:Onsite Project Management and Team Leadership:Managed onsite project activities and led teams at Indian Government R&D Labs, ensuring smooth coordination and project execution.Customer-Centric Software Solutions:Designed and developed tailored software solutions for R&D organizations and academic institutes, addressing specific research and operational needs.Technology Implementation and Market Service Development:Implemented and analyzed emerging technologies in a lab environment, collaborating with business units to transform these technologies into new market service products.Project Planning and Execution:Set up delivery timelines and intermediate milestones in close collaboration with stakeholders, skillfully managing project execution to ensure timely delivery.Training and Workshops on Parallel Programming & Linux:Conducted training sessions, workshops, and symposiums on Parallel Programming Paradigms and Linux Operating Systems at various R&D organizations and academic institutes, sharing technical expertise.International Project Management and Technical Support:Provided project management and technical support for onsite application deployment at Centers of Excellence (COE) internationally, including regions like Africa and Southeast Asia, ensuring successful implementation and knowledge transfer. -
Technical OfficerC-Dac (Formerly Ncst) Aug 2009 - Jul 2011Pune Area, IndiaKey Contributions:Optimization and Parallelization of Sequential Applications:Undertook complete optimization and parallelization of sequential applications using parallel programming models such as OpenMP, MPI, CUDA, and Intel Xeon Phi directive programming, significantly improving computational efficiency.Porting and Performance Tuning of Parallel Applications:Managed the porting and performance tuning of parallel scientific applications, utilizing various profiling tools and benchmarking techniques to assess and enhance application scalability and efficiency.Software Design and Remote Application Support:Designed customized software solutions based on thorough requirements analysis and provided remote application support to various R&D organizations, ensuring seamless operational performance.
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Project EngineerC-Dac (Formerly Ncst) Aug 2007 - Aug 2009Pune Area, IndiaKey Contributions:Porting HPC Applications Across Various Domains:Ported High-Performance Computing (HPC) applications across multiple domains, including weather forecasting, molecular dynamics, and computational chemistry, ensuring cross-platform compatibility and optimized performance.Parallelization Scientific Applications:Parallelized sequential applications using MPI and OpenMP, significantly enhancing computational speed and resource efficiency for complex scientific simulations.
Kapil Mathur Education Details
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Electronics And Communication Engineering -
Sunbeam Institute Of Information And TechnologyComputer Software Technology
Frequently Asked Questions about Kapil Mathur
What company does Kapil Mathur work for?
Kapil Mathur works for Shell
What is Kapil Mathur's role at the current company?
Kapil Mathur's current role is Principal IoT and Edge Computing Lead.
What schools did Kapil Mathur attend?
Kapil Mathur attended University Of Rajasthan, Sunbeam Institute Of Information And Technology.
Who are Kapil Mathur's colleagues?
Kapil Mathur's colleagues are Ranjit Sodhi, Joy Yang, Florencia Soledad Aceval, Kannan Perumal, Gustavo Escauriza Hempel, Alfred James, Okechukwu Ahaoma.
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