Why MLOps is the Backbone of Production-Grade AI
Practical strategies for operationalising machine learning models at enterprise scale—covering CI/CD for ML, model monitoring, and governance best practices. Featured in Heartbeat.
An experienced leader with a strong technical foundation, specialising in AI-driven platforms, advanced analytics, and product leadership. Delivering measurable outcomes—from 60–90% GHG reductions to $1M+ cost savings—across global consulting engagements.
LLMs, RAG Systems, NLP, and Computer Vision—building applied AI solutions that generate real business value across enterprise environments.
End-to-end product lifecycle management—from vision definition and backlog prioritisation to Agile/Scrum delivery and cross-functional team leadership.
Predictive analytics and ML pipelines using Python and Power BI—transforming raw data into actionable intelligence and measurable ROI.
Microsoft Azure and Azure Foundry deployments—integrating cloud-native AI services and scalable infrastructure into enterprise platforms.
TECHNICAL SKILLS
PRODUCT EXPERTISE
Delivering measurable outcomes through AI innovation and product expertise.
SUSTAINABILITY & CLIMATE
Conceptualised and launched a decarbonisation roadmap platform as Technical Discipline Lead—reducing greenhouse gas emissions by 60–90% for a North American client, impacting climate targets between 2023–2026.
SMART INFRASTRUCTURE
Designed and led the AI Product strategy for predictive noise impact modelling deployed across 116 wind turbines, 6 wind farms, and 19,000 homes in the Netherlands (2024–2025).
ADVANCED ANALYTICS
As Product Lead, spearheaded ML-driven analytics for a major FMCG client—driving 5% QoQ sales growth in Ecuador's ice cream market and scaling the solution across 15+ countries.
OPERATIONAL EFFICIENCY
Engineered Python-based automation for invoicing, procurement, and reporting—achieving 100% reduction in manual effort and over $1M in cost savings for a major North American Energy Company.
A 19-year career spanning Cognizant, Mindtree, and Arcadis—driving digital transformation and AI innovation across global consulting engagements.
Arcadis Consulting · Digital Intelligence · Bengaluru
ASSOCIATE DIRECTOR · AI ADOPTION
Drive AI exploration across the organisation—facilitating discovery sessions, developing POCs, and engaging with clients to demonstrate the business value of AI solutions.
TECHNICAL DISCIPLINE LEAD · NET ZERO CATALYST · 2023–2026
Translated client sustainability requirements into a decarbonisation roadmap tool, impacting climate targets for a major North American client.
AI PRODUCT MANAGER · NOISE FORECAST APP · 2024–2025
Led product definition and design to enhance predictive modelling of wind turbine noise impacts for 116 turbines across 6 wind farms in the Netherlands.
Mindtree
Cognizant Technology Solutions
Worked within the CTO's office to identify and evaluate emerging technologies, defining their potential as new product offerings for the business.
Orchestrated technology proposals and consulting solutions for the Insurance vertical, translating complex business requirements into actionable recommendations.
Led a 10-member Centre of Excellence (CoE) team as the internal product expert on Adobe technologies, supporting critical client delivery projects.
175+ articles on data science, AI, geospatial analysis, and app development.
In-depth tutorials and guides on building production-grade ML pipelines, experiment tracking, model deployment, and operationalising AI at scale.
Practical explorations of large language models, RAG architectures, prompt engineering, and enterprise AI application development using Azure and Python.
Articles on geospatial data analysis with Python and building interactive data applications using Streamlit, Plotly Dash, and NiceGUI.
Technical deep-dives from the frontlines of AI and analytics.
Practical strategies for operationalising machine learning models at enterprise scale—covering CI/CD for ML, model monitoring, and governance best practices. Featured in Heartbeat.
A framework for building retrieval-augmented generation pipelines that deliver accurate, grounded responses for enterprise knowledge management—reducing hallucinations at scale. Featured in Heartbeat.
A hands-on guide to transforming Python data science projects into polished, interactive web applications using Streamlit and Plotly Dash—from prototype to production.
Open to consulting engagements, advisory roles, and collaborative projects in AI product development, data science, and digital transformation. Let's build something impactful together.