14+ years designing and operating large-scale data platforms, real-time streaming systems, and production-grade ML + GenAI pipelines across Azure and AWS.
End-to-end platform engineering — from raw ingestion to intelligent AI-powered decision systems.
Real-time event streaming, Medallion Architecture (Bronze/Silver/Gold), Delta Lake, Auto Loader, DLT pipelines at enterprise scale across regulated financial services environments.
End-to-end model lifecycle — Feature Store, experiment tracking, model registry, champion-challenger deployment, drift monitoring, SHAP explainability.
Production LLM pipelines, Retrieval-Augmented Generation (RAG), Vector Search, semantic search, conversational AI — grounded on enterprise data.
Unity Catalog governance, Data Contracts framework, PII masking, row-level security, GDPR-compliant pipelines, full data lineage.
Azure DevOps pipelines, Databricks Asset Bundles, automated testing with Great Expectations, multi-environment promotion (Dev → Staging → Prod).
Deep Azure expertise (Databricks, ADLS, Event Grid, Key Vault, ADF) and AWS (EMR, S3, Glue). Cloud-native architecture for regulated enterprise environments.
Production platforms built and operated at scale in regulated enterprise environments.
End-to-end platform transforming unstructured documents into structured risk profiles. XGBoost risk scoring, LLM-based document extraction, RAG-powered conversational interface, SHAP explainability for every decision — all tracked in MLflow.
Designed and implemented a YAML-based Data Contract framework enforcing schema, business rules, SLAs, and ownership pre-processing across diverse enterprise data sources — fully integrated with Unity Catalog and Great Expectations.
Built intelligent semantic search on a Databricks data platform using Vector Search and RAG architecture — enabling business users to retrieve relevant enterprise data through natural language queries with grounded, accurate answers.
14+ years delivering enterprise data platforms across regulated financial services, banking, and capital markets — across Europe, Asia-Pacific, and India.
Tools and platforms used in production across 13+ years.
Interested in collaborating on data platform challenges, architecture discussions, or knowledge sharing.