I architect cloud solutions at national scale — from smart grid systems managing millions of meters, to AI-powered platforms that detect energy theft and forecast grid demand, to government portals serving entire populations. As a Solutions Architect at AWS specializing in serverless, data analytics, AI/ML, and cloud migration, I bridge the gap between complex infrastructure challenges and transformative business outcomes for India's public sector and beyond.
Deep specialization across serverless, AI/ML, data analytics, migration, cloud infrastructure, and security — with a focus on government and enterprise-scale deployments on AWS.
Subject Matter Expert in Lambda & API Gateway. Designing event-driven, cost-efficient architectures that scale from zero to millions of requests — powering national-scale platforms with zero server management.
Building intelligent platforms — from computer vision for solar panel analysis, to multi-agent chatbots for grid intelligence, to ML-based theft detection and load forecasting for power utilities.
Architecting end-to-end data pipelines from ingestion to visualization — building real-time dashboards, ETL workflows, data lakes, and BI platforms for operational intelligence at enterprise scale.
Leading large-scale migrations from on-premise and VMware to AWS — modernizing legacy systems into cloud-native architectures with minimal downtime using proven migration methodologies.
Designing multi-region, highly available architectures with end-to-end DR strategies achieving lowest RPO/RTO. Expertise across compute, storage, networking, and infrastructure-as-code.
Building secure-by-design architectures meeting government compliance standards — implementing data sovereignty, encryption at rest and in transit, fine-grained access controls, and continuous monitoring.
High-impact engagements across energy, government, and enterprise — each solving a unique challenge at national scale.
Architected the cloud backbone for India's Advanced Metering Infrastructure (AMI) under PGCIL — enabling real-time monitoring, analytics, and management of 5M+ smart electricity meters across the national grid.
Built a multi-stage image validation pipeline for India's rooftop solar subsidy program (MNRE). Images submitted for subsidy claims go through quality checks via Amazon Rekognition, duplicate detection using vector search indexing in RDS, and custom ML checks for panel inclination and image morphing detection using SageMaker AI and Bedrock LLMs — all orchestrated by AWS Step Functions.
Developed ML use cases for power utilities — energy theft detection using anomaly models to identify tampered meters and unauthorized consumption, and load forecasting to predict grid demand patterns for capacity planning and optimization across distribution networks.
End-to-end AI-powered capacity planning platform for power DISCOMs analyzing four growth vectors — consumer load, EV charging expansion, solar DER generation, and battery storage — across 411K+ records and 11 cities. Features multi-agent AI chat powered by Bedrock Claude and interactive React dashboards.
Automated IaC solution for power utilities analytics — CloudFormation deploys an S3-to-Lambda-to-Redshift ETL pipeline with QuickSight dashboards, analyzing interval meter readings (kW, kWh, power factor) at 15-minute granularity. Full end-to-end data visualization from raw CSV to executive dashboards.
Built a fully serverless Retrieval Augmented Generation system on AWS — upload a PDF to S3, ask questions in plain English, get answers grounded in the actual document. Uses Bedrock (Titan Embeddings + Claude), OpenSearch Serverless as vector store, and AWS CDK for one-command deployment.
Designed the IPv6 migration strategy for IoT-scale smart meter networks — solving address exhaustion for millions of connected devices. Solution published on the AWS Industries Blog.
Led the end-to-end migration of NRL's VMware infrastructure to AWS — modernizing legacy workloads using AWS MGN and DMS, reducing operational costs, and implementing DR strategies with lowest RPO/RTO targets.
End-to-end serverless image analysis using AWS Lambda, Rekognition, and API Gateway — demonstrating enterprise-grade computer vision without managing infrastructure. Published on AWS Serverless Land.
Validated expertise across AWS cloud architecture, development, and emerging technologies.
Advanced cloud architecture design
Cloud architecture fundamentals
Cloud-native development
Subject Matter Expert certification
Generative AI on AWS
Framework proficiency
Whether it's a national-scale cloud architecture, a serverless platform, or an AI/ML initiative — I'm always open to discussing how cloud can transform outcomes.