Expertise

From strategy to
shipped models.

A rare full-stack profile - able to set AI strategy in the boardroom and build the models, pipelines and packages that deliver it.

Core competencies

Capabilities

AI & Emerging Technology

AI strategy & transformation roadmaps, Generative AI & LLM applications, agentic architectures, intelligent automation, responsible-AI governance and AI CoE establishment.

Data Science & ML

Supervised/unsupervised & deep learning, time-series forecasting, predictive maintenance, NLP, recommender systems, survival analysis and optimization.

Analytics Strategy & Governance

Enterprise AI/analytics strategy, 10-year roadmaps, data & analytics governance, maturity assessment, use-case prioritization and value assurance.

Asset Management & Reliability

Reliability engineering, condition-based & predictive maintenance, RCA & failure analysis, KPI frameworks (330+ metrics) aligned to the Time Usage Model & ICMM.

MLOps & Product Engineering

Data pipelines, feature engineering, model deployment, CI/CD, Docker, cloud analytics, and AI product development & commercialization.

Leadership & Delivery

Building analytics CoEs, scaling teams of 20+, P&L-linked investment, budget ownership (₹40–400 Cr), and C-suite & board communication.

Tools & platforms

Stack

Languages & frameworks

PythonRSQL PySparkTensorFlowPyTorch scikit-learnJAX / Equinox ShinyQuarto

Data, cloud & BI

GCPDockerGit / GitHub CI Spark / HadoopPower BITableau SAP PM/MMJD Edwards

Domains served

Industries

Mining (coal, iron ore, limestone, copper) Cement & heavy industry Energy & natural resources Rail & logistics Aviation / airports Retail & supply chain Healthcare (medical devices) BFSI ESG & sustainability

Have a problem worth solving?

Let's map it to outcomes.

From an AI maturity assessment to a production-grade model, let's talk about what "good" looks like for you.

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