Headline

Distinguished Member of Technical Staff | AI Use Case fitment | AI enablement

About

AI transformation executive with 20+ years of experience turning advanced platform engineering into measurable business impact across telecom and enterprise environments. Over the last several years, the focus has been on building and scaling enterprise AI/ML platforms, global data ecosystems, and GenAI-ready operating foundations that help large organizations move from isolated experimentation to repeatable AI adoption at scale. In 2026, I was recognized as a Distinguished Member of Technical Staff (DMTS) at Nokia — one of the highest technical honors in the company’s R&D function. The award recognizes technical excellence and outstanding contributions with significant business impact, and I was selected from around 40,000 global R&D employees for my technical leadership in AI, cloud, and high-performance computing, and for delivering foundational platforms that enable GPU-accelerated computing, large-scale ML experimentation, and cloud-native simulation now running throughout Nokia. Recent work has included scaling AI platforms for 1,000+ engineers, governing 500 TB+ of distributed data across global regions, reducing machine learning experimentation cost to one-third of previous levels, and cutting simulation turnaround time by 60 percent through AI infrastructure and GPU optimization. Software systems introduced to streamline experimentation and research traceability also improved simulation-result and patent filing throughput by 50 percent. The core strength is building the foundation that enterprise AI needs to succeed: cloud-native platforms, AI operating models, governance, MLOps, data architecture, scalable inference, and platform patterns that make GenAI and LLM use cases practical in real organizations. This includes enabling RAG-style workflows, experimentation environments, and standardized services that allow teams to innovate faster while staying aligned on reliability, cost, and governance. Career focus is now centered on AI Transformation Director, Head of AI Platforms, and Data/AI Office leadership roles where enterprise AI strategy, platform execution, operating model design, and governance must come together to unlock large-scale value. The most compelling opportunities are those where strong engineering, disciplined execution, and ambitious AI strategy need to work as one system.

Location

Bengaluru

AI stack

hugging face

langchain

langgraph

openai

Work experience

Distinguished Member of Technical Staff at Nokia, Jun 2022 - Present · 4 yrs 3 mos, Chennai, Leading the enterprise AI platform strategy and execution for global R&D organizations, shaping the foundational infrastructure, governance, and operating model required to scale AI and Generative AI adoption across the business. Key contributions: - Designed the cloud native AIML and Simulation systems which power Nokia's research and simulations thereby maintaining the edge in 6G research topics -Built the Nokia ML Platform (NMLP) from the ground up, scaling AI/ML infrastructure to support 1000s of users across global research teams -Architected GenAI-ready platform capabilities, enabling LLM-based experimentation, RAG-style workflows, and scalable inference on enterprise datasets -Enabled internal teams to prototype and deploy AI/GenAI use cases using standardized tooling and APIs -Managed 500TB+ data across multi-region, multi-cluster deployments (Finland, US, India) -Designed and implemented a Data Bus architecture powering cross-organization AI workflows -Led development of hybrid cloud + GPU-based infrastructure, reducing simulation time by 60% for compute-intensive workloads -Improved GPU cluster resource tracking and utilization, optimizing cost-performance at scale -Delivered a unified ML toolchain (Flyte, MLflow, JupyterHub, APIs) enabling end-to-end AI lifecycle management -Defined AI operating model and governance frameworks, onboarding 15+ teams and standardizing ML workflows

Principal Software Engineer - AI and Data Platforms at Ericsson, Sep 2019 - Jun 2022 · 2 yrs 10 mos, Chennai, Led the architecture and scale-out of enterprise AI infrastructure to operationalize AI across global telecom business units and large engineering teams. Key contributions: -Scaled AI platform adoption across 10+ business units, enabling 1000+ engineers to develop and deploy AI solutions -Architected and delivered multi-cloud AI/ML execution environment (Azure, GCP, Kubernetes) -Enabled AI use cases including network anomaly detection, forecasting, and predictive analytics with 99.9% uptime SLAs -Established AI/ML governance frameworks, including model lifecycle management, experiment tracking, and deployment standards -Built reusable platform patterns to accelerate AI solution delivery and operationalization across teams

Platform Architect at Ericsson, 2019 - 2022 · 3 yrs, Scaled enterprise AI platform across 10+ business units. Built Azure, GCP and Kubernetes AI platform. Delivered production AI with 99.9% uptime. Standardized AI governance and MLOps across global teams.

Manager, Machine learning platform development and deployment at Ford Motor Company, May 2018 - Sep 2019 · 1 yr 5 mos, Chennai, Tamil Nadu, India, Led enterprise AI infrastructure initiatives supporting analytics and machine learning use cases across global teams. Key contributions: -Delivered a global analytics and ML platform supporting enterprise AI initiatives across mobility and manufacturing -Enabled distributed ML workloads and experimentation platforms, accelerating AI solution development -Introduced Kubernetes-based infrastructure for scalable, containerized AI workloads -Supported early-stage innovation in distributed learning and advanced analytics systems

Manager of Artificial Intelligence at Ford Motor Company, 2018 - 2019 · 1 yr, Delivered enterprise AI/ML platform for global analytics. Introduced Kubernetes-based AI infrastructure. Enabled distributed ML experimentation.

Senior Architect at Wipro Limited, Aug 2016 - Apr 2018 · 1 yr 9 mos, Chennai, Tamil Nadu, India, Program Manager for Payments delivery vertical

Senior Technical Lead at Renault-Nissan-Mitsubishi, Jan 2011 - Aug 2016 · 5 yrs 8 mos, Chennai, Tamil Nadu, India, Senior Technical Lead for Date warehousing and Systems vertical

Education

Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Thapar Institute of Engineering & Technology