Mallikarjuna Munugoti

About Mallikarjuna Munugoti

As a Senior Principal Architect at Schneider Electric, I leverage my 25 years of experience and credentials in Azure Solutions and CESAM to build innovative and intelligent software products and solutions for industrial automation. My mission is to help customers achieve operational excellence, efficiency, and sustainability in various domains like process control engineering, batch control, manufacturing execution, manufacturing intelligence, industrial IoT, and digital twins.I have a strong expertise in designing and developing distributed systems using cloud computing, Azure Functions.NET Core, AI, ML, and semantic web technologies. I use these technologies to create scalable and reliable systems that can extract, manage, and analyze plant asset data from engineering data sources, and generate ontological knowledge bases and HMI for controlling industrial processes. I also have a solid background in object-oriented programming, especially in C++ and C#, and I am skilled in various tools and frameworks like Docker, Kubernetes, SQL Server, and Cosmos DB. Additionally, I have a proven track record of successfully leading teams, managing complex projects, and working with different stakeholders. I am passionate about advancing industrial automation and delivering value to customers.

Experience

1. Senior Principal Architect

   施耐德电气

   Jan 2017 — Present · Hyderabad, IN

   Led the development of a novel solution utilizing ontologies for intelligent control engineering within a heterogeneous plant automation system. This project aimed to transform control engineering workflows by leveraging semantic data models and machine learning.Key Achievements:• Architected and implemented a cloud-based solution (Microsoft Azure) for building automation domain ontologies. This system integrated data from diverse vendors, fostering a unified understanding of plant operations.• Developed a prototype enabling complex queries in a natural language format. This facilitated control engineers in obtaining data for optimization and decision-making.• Championed seamless information exchange across various namespaces. This enabled smooth integration of control engineering data with downstream operational and maintenance systems.• Envisioned a future with simplified control engineering through process narratives. This vision aimed to streamline workflows and reduce reliance on complex configuration processes.• Proposed leveraging machine learning for control strategy optimization. This approach aimed to dynamically adjust based on operational states rather than just equipment type.• Conceptualized auto-generating and validating test cases based on process narratives. This aimed to ensure the efficacy and reliability of control logic.

Education

• SPJIMR SP Jain Institute of Management & Research

  Executive MBA

• Andhra University

  Bachelor’s Degree, Computer Science and Systems Engineering

  1994 — 1998

Skills

• Microservices
• Software Development
• Scrum
• Integration
• C#
• .net
• Xml
• Software Engineering
• Web Services
• Wpf
• Asp.net Web Api
• Requirements Analysis
• Private Clouds
• Microsoft Sql Server
• Automation
• Agile Methodologies
• Visual C++
• Sdlc
• Solution Architecture
• Microsoft Azure
• Pivotal
• Software Project Management
• Asp.net Mvc
• Soa
• Wcf
• Clearcase