Data & AI/ML Architect | Principal Data Engineer | Cloud Modernization Expert
Data & AI/ML Architect with 12+ years of experience designing enterprise-scale Data Platforms, AI/ML ecosystems, GenAI solutions, and cloud-native architectures across AWS, GCP, and open-source technologies.
Expert in building Data Lakes, Data Mesh, real-time streaming systems, AI/ML pipelines, and LLM-based solutions using AWS Bedrock, SageMaker, Spark, Kafka, Airflow, MLflow, and modern MLOps frameworks.
Demonstrated success in cloud modernization, monolith-to-microservices transformation, data engineering at PB-scale, and leading cross-functional engineering teams of 30+ members. Strong client-facing, pre-sales, architectural governance, and delivery leadership experience.
Delivery + Data Architecture + AI/ML + GenAI + Cloud Modernization
Primary: Data Engineering | Secondary: App Dev + AI/ML
Python/Java Web Development + WordPress + Early Data Engineering
Primary: WordPress Developer — 200+ Websites Delivered
Built multi-industry RAG chatbots (Healthcare, Procurement, Telecom, BFSI, Manufacturing) with embeddings, semantic search, knowledge ingestion, and API-based inferencing.
Architected full ML lifecycle platform: Data Ingestion → ETL/ELT → Feature Store → Training → Deployment → Monitoring using Spark, Airflow, MLflow.
Managed 1PB datasets with real-time analytics, KPI dashboards, and governed data lake layers using Spark, Hadoop, and Presto.
Built automated FinOps insights using LLM-based summarizations and infra usage analysis with real-time optimization recommendations.
Built automated voice bot for Tier-1 telecom client using LLMs + speech pipelines with conversation flow, intent detection, and knowledge grounding.
Modernized legacy monolithic systems into microservices-based architecture deployed on AWS EKS using Spring Boot and React.