Building production-grade cloud infrastructure and AI-powered tools for regulated healthcare.
Cloud Platform & SRE Engineer operating production AWS infrastructure for Cigna Healthcare — one of the largest US health insurers — via Tata Consultancy Services. I own incident response, observability, and platform reliability for healthcare insurance and pharmacy systems where downtime has real patient impact.
I pair deep cloud operations experience with a Master's in Data Science (GPA 3.9) to bridge the gap between raw infrastructure and intelligent systems. That combination drives the AI tooling I build on top of it — purpose-built tools that solve real problems I've lived in production.
I'm targeting Senior Cloud Engineer, SRE, and AI Platform Engineer roles where AWS depth meets modern GenAI. If you're building reliable, intelligent infrastructure at scale, let's talk.
6-agent LangGraph pipeline that converts a plain-English prompt into a complete AWS architecture — diagram, cost estimate, security review, and production-ready Terraform in one shot.
Transforms raw CloudWatch alarms into structured incident briefs — probable cause, immediate actions, and healthcare business impact — in under 3 seconds across 8 AWS service types.
Converts patient encounter audio into structured SOAP notes using Amazon Bedrock and AWS MCP servers. Built with clinical UX standards and cost-safe feature flags for healthcare compliance.
Hosted on AWS S3 + CloudFront with Route 53 DNS. Features Echo, an AI assistant powered by Amazon Bedrock Claude via Lambda and API Gateway.
Automated data ingestion, transformation, and storage using Lambda, S3, RDS, and Step Functions with Parquet archiving for analytics.
CNN-based medical image classifier for dermatological conditions. Built with TensorFlow and Keras with a full image preprocessing pipeline.
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Targeting Senior Cloud Engineer, SRE, and AI Platform Engineer roles where I can bring both deep AWS expertise and hands-on GenAI experience.