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Gokulnath Chidambaram

Technology Executive | CTO / VP Engineering | AI & GenAI | Digital Transformation | Enterprise Architecture | Data & Cloud

Greater Bengaluru Area

6+ years of work experience

Mavim
Aug 20242 yrs 3 mosPresent

Bengaluru, Karnataka, India

Leading the India technology organization and global engineering collaboration, with responsibility for technology strategy, engineering delivery and technology operations. Scaled the India technology organization from 17 to ~40 professionals across 8 teams spanning Development, QA, Cloud Engineering and Service Desk. Led technology transformation across data, cloud, graph and AI capabilities, including Azure Databricks, Knowledge Graph, GraphQL and GenAI initiatives. Led the DataLabs team in building a unified, automated data platform and established foundations for analytics and AI.Drove exploration of RAG, AI Agents and MCP with Azure AI Foundry. Built engineering capability through strategic hiring, including 7 fresh graduates, structured training, mentoring, AI learning initiatives and internal hackathons.
Jan 20246 mosJun 2024

Bengaluru, Karnataka, India

• Provided expert guidance in the development and productionization of cutting-edge Medical Generative AI solutions for ProDoc.io, a healthcare technology startup focused on revolutionizing medical documentation processes. • Advised on strategic technology decisions to enhance ProDoc.io's capabilities in delivering advanced medical solutions, including the integration of state-of-the-art AI models and platforms. • Spearheaded the implementation of the Gemini platform, harnessing the power of Large Language Models (LLM) and Google Vision APIs to enhance medical imaging analysis and diagnosis accuracy within ProDoc.io's platform. • Developed Retrieval-Augmented Generation (RAG) strategies in conjunction with graph models using Neo4j, enabling dynamic learning and optimization of AI algorithms for medical applications tailored to ProDoc.io's needs.
Rockwell Automation
Jan 20231 yr 1 moJan 2024

Bengaluru, Karnataka, India

● IoT-Driven Architectural Leadership: Lead the design and development of IoT-centric solutions, harnessing the power of interconnected devices and systems to boost operational efficiencies and data-driven decision-making. ● Digital Twin Architecture: Design and implement digital twin architectures, optimizing the simulation and real-time monitoring of physical systems through IoT devices for enhanced operational insights. ● Technology Evaluation: Skilled at assessing and integrating emerging technologies like Redpanda and low-code platforms, ensuring they resonate with the company's strategic objectives and the dynamic needs of the industrial automation domain ● Architected IoT edge platforms specifically designed to handle AI workloads, leveraging cutting-edge technologies to optimize performance and scalability. ● Designed and implemented AI/ML platforms tailored for edge computing environments, utilizing frameworks such as MLFlow, message queues,and data stores to streamline model deployment and management. ● Provided visionary leadership in driving the adoption of AI/ML methodologies at the edge, empowering organizations to harness the full potential of their data for predictive analytics and decision-making. ● Mentored and guided a team of product architects in the development of AI/ML solutions for edge and cloud environments, fostering a culture of innovation and excellence.
Halliburton
Apr 20211 yr 7 mosOct 2022

Bengaluru, Karnataka, India

●Spearheaded the implementation of a data lineage solution using graph data modeling techniques, demonstrating leadership in conceptualizing and executing a robust data lineage system tailored to the complexities of the oil & gas sector. ● Provided mentorship and guidance to a team of architects and engineers, fostering their professional development and ensuring alignment with organizational objectives. ● Led the development of comprehensive reference architectures and championed target architectural designs, driving successful Proof of Concepts (POCs) focused on Kafka Streams and other emerging technologies.
Schneider Electric
Jul 20191 yr 10 mosApr 2021

Greater Bengaluru Area

Member of CTO Team and driving data architecture across Schneider business units. ● Successfully led the implementation of Schneider Electric's Master Data Management solution using Reltio, resulting in streamlined data governance, enhanced data quality, and improved business agility. ● Developed the Schneider Sales Analytics Platform, leveraging the Apigee API Business Analytics Framework to monitor performance and enhance API management capabilities across Schneider Electric's ecosystem. This platform integrated data from Apigee API, Reltio-provided master data, and data processed through Kafka pipelines, stored and analyzed in Google Big Query (GBQ). By leveraging GBQ, the platform enabled scalable and high-performance data analytics and insights generation. Additionally, it facilitated the measurement of KPIs through GBQ-based dashboards, enabling data-driven decision-making and insights generation within Schneider Electric's sales ecosystem.

Gokulnath’s AI Stack

claude
claude
codex
codex
gemini
gemini
github copilot
github copilot
langchain
langchain
langgraph
langgraph

Education

M.E, Instrumentation Engineering

Madras Institute of Technology,Chennai

19962 yrs1998

B.E, Electrical and Electronics Engineering

College of Engineering,Guindy,Chennai

19914 yrs1995

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Headline

Technology Executive | CTO / VP Engineering | AI & GenAI | Digital Transformation | Enterprise Architecture | Data & Cloud

About

Technology executive and enterprise architect with 30 years of experience spanning engineering leadership, enterprise architecture, product and platform engineering, cloud, data, IoT, AI/ML and digital transformation. I have built my career at the intersection of technology strategy and deep engineering, progressing from hands-on software engineering and architecture into technology leadership, organizational scaling and enterprise transformation. Most recently, as Technical Director at Mavim, I led the India technology organization and its collaboration with global teams, scaling the organization from 17 to approximately 40 professionals across 8 teams covering Development, QA, Cloud Engineering and Service Desk. My technology leadership experience includes AI/GenAI, RAG, AI Agents, MCP, data platforms, Azure Databricks, graph databases, Knowledge Graphs, GraphQL, IoT, Digital Twins and distributed systems. At Mavim, I led initiatives spanning data platform modernization, Databricks-based data engineering, graph-based process architecture, Knowledge Graphs, GraphQL APIs and GenAI capabilities. I also focused strongly on building engineering capability through hiring, mentoring, structured training, continuous learning and hands-on AI initiatives. Earlier in my career, I held architecture and technology leadership roles at Rockwell Automation, Halliburton, Schneider Electric, GE, HP, Philips, CAE and Honeywell, working across industrial automation, aviation, energy, healthcare, IoT and enterprise technology.My current research focuses on the Social Internet of Things (SIoT), including trust, interoperability, socially grounded protocols, computer vision and intelligent distributed systems. I am pursuing a part-time Ph.D. and have published research through journal and IEEE conference publications. Core areas:Technology Strategy | Engineering Leadership | AI amp; GenAI | AI Agents | MCP | Enterprise Architecture | Data amp; Cloud | Databricks | Knowledge Graphs | Graph Databases | GraphQL | IoT | Digital Twins | Product amp; Platform Engineering | Digital Transformation

Location

Greater Bengaluru Area

AI stack

claude

codex

gemini

github copilot

langchain

langgraph

Work experience

Technical Director at Mavim, Aug 2024 - Present · 2 yrs 3 mos, Bengaluru, Karnataka, India, Leading the India technology organization and global engineering collaboration, with responsibility for technology strategy, engineering delivery and technology operations. Scaled the India technology organization from 17 to ~40 professionals across 8 teams spanning Development, QA, Cloud Engineering and Service Desk. Led technology transformation across data, cloud, graph and AI capabilities, including Azure Databricks, Knowledge Graph, GraphQL and GenAI initiatives. Led the DataLabs team in building a unified, automated data platform and established foundations for analytics and AI.Drove exploration of RAG, AI Agents and MCP with Azure AI Foundry. Built engineering capability through strategic hiring, including 7 fresh graduates, structured training, mentoring, AI learning initiatives and internal hackathons.

Advisor at Prodoc.io, Jan 2024 - Jun 2024 · 6 mos, Bengaluru, Karnataka, India, • Provided expert guidance in the development and productionization of cutting-edge Medical Generative AI solutions for ProDoc.io, a healthcare technology startup focused on revolutionizing medical documentation processes. • Advised on strategic technology decisions to enhance ProDoc.io's capabilities in delivering advanced medical solutions, including the integration of state-of-the-art AI models and platforms. • Spearheaded the implementation of the Gemini platform, harnessing the power of Large Language Models (LLM) and Google Vision APIs to enhance medical imaging analysis and diagnosis accuracy within ProDoc.io's platform. • Developed Retrieval-Augmented Generation (RAG) strategies in conjunction with graph models using Neo4j, enabling dynamic learning and optimization of AI algorithms for medical applications tailored to ProDoc.io's needs.

Country Lead Architect - Edge&Cloud at Rockwell Automation, Jan 2023 - Jan 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India, ● IoT-Driven Architectural Leadership: Lead the design and development of IoT-centric solutions, harnessing the power of interconnected devices and systems to boost operational efficiencies and data-driven decision-making. ● Digital Twin Architecture: Design and implement digital twin architectures, optimizing the simulation and real-time monitoring of physical systems through IoT devices for enhanced operational insights. ● Technology Evaluation: Skilled at assessing and integrating emerging technologies like Redpanda and low-code platforms, ensuring they resonate with the company's strategic objectives and the dynamic needs of the industrial automation domain ● Architected IoT edge platforms specifically designed to handle AI workloads, leveraging cutting-edge technologies to optimize performance and scalability. ● Designed and implemented AI/ML platforms tailored for edge computing environments, utilizing frameworks such as MLFlow, message queues,and data stores to streamline model deployment and management. ● Provided visionary leadership in driving the adoption of AI/ML methodologies at the edge, empowering organizations to harness the full potential of their data for predictive analytics and decision-making. ● Mentored and guided a team of product architects in the development of AI/ML solutions for edge and cloud environments, fostering a culture of innovation and excellence.

Principal Architect at Halliburton, Apr 2021 - Oct 2022 · 1 yr 7 mos, Bengaluru, Karnataka, India, ●Spearheaded the implementation of a data lineage solution using graph data modeling techniques, demonstrating leadership in conceptualizing and executing a robust data lineage system tailored to the complexities of the oil & gas sector. ● Provided mentorship and guidance to a team of architects and engineers, fostering their professional development and ensuring alignment with organizational objectives. ● Led the development of comprehensive reference architectures and championed target architectural designs, driving successful Proof of Concepts (POCs) focused on Kafka Streams and other emerging technologies.

Principal Data Architect at Schneider Electric, Jul 2019 - Apr 2021 · 1 yr 10 mos, Greater Bengaluru Area, Member of CTO Team and driving data architecture across Schneider business units. ● Successfully led the implementation of Schneider Electric's Master Data Management solution using Reltio, resulting in streamlined data governance, enhanced data quality, and improved business agility. ● Developed the Schneider Sales Analytics Platform, leveraging the Apigee API Business Analytics Framework to monitor performance and enhance API management capabilities across Schneider Electric's ecosystem. This platform integrated data from Apigee API, Reltio-provided master data, and data processed through Kafka pipelines, stored and analyzed in Google Big Query (GBQ). By leveraging GBQ, the platform enabled scalable and high-performance data analytics and insights generation. Additionally, it facilitated the measurement of KPIs through GBQ-based dashboards, enabling data-driven decision-making and insights generation within Schneider Electric's sales ecosystem.

Education

M.E, Instrumentation Engineering, Madras Institute of Technology,Chennai

B.E, Electrical and Electronics Engineering, College of Engineering,Guindy,Chennai