Kapil Mathur

About Kapil Mathur

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.

Experience

1. Principal Iot & Edge Computing Lead

   Shell

   Jul 2022 — Present · Bengaluru, IN

   As a Principal IoT and Edge Computing Lead I am responsible for drive and deliver solutions enabling Shell assets digital transformation through technology integration, some of the key contribution in this role are as follows:Edge Computing Strategy: Developed and implemented a comprehensive Edge Computing strategy to support high-performance AI applications, enabling real-time analytics and decision-making at the edge of the network.AI at the Edge: Spearheaded R&D of AI at the edge, focusing on machine vision applications and Large Language Models (LLMs), significantly improving the accuracy and reliability of automated systems.Leak Detection Solutions: Designed and deployed advanced leak detection technologies utilizing visual, ultrasonic, and electrochemical sensors, ensuring timely and precise detection, thereby enhancing safety and operational efficiency for sustainability.Continuous Monitoring of Rotating Equipment: Delivered solutions for continuous monitoring of rotating equipment by integrating multi-axial vibration, ultrasonic, and temperature sensors, allowing early detection of potential issues and minimizing downtime.Predictive Maintenance: Leveraged real-time sensor data to develop predictive maintenance strategies, increasing equipment reliability and enhancing overall operational efficiency.Asset Electrification: Pioneered initiatives supporting asset electrification by applying IoT and Edge Computing technologies to optimize energy usage, reduce environmental impact, and drive sustainable operations.

Education

• University of Rajasthan

  Bachelor of Engineering (B.E.), Electronics and Communication Engineering

  2001 — 2005

• Sunbeam Institute of Information and Technology

  Post Graduate in Advanced Computing, Computer Software Technology

  2007 — 2007

Skills

• Distributed Systems
• Core Java
• Software Design
• Mpi
• Cuda
• Algorithms
• Linux
• Software Development
• Python
• Openmp
• Parallel Computing
• C
• Optimization
• Java
• Machine Learning
• Intel Xeon Phi
• C++
• Data Structures
• Parallel Programming
• Perl
• Operating Systems
• High Performance Computing (Hpc)
• Unix
• Cloud Computing
• Cluster
• Shell Scripting
• High Performance Computing