Shail R. Shah

Tech: Java, Kotlin, Python, TypeScript, Bedrock, Step Functions, ECS, Lambda, API Gateway, DynamoDB, CloudFormation, CloudWatch, IAM

• Spearheaded region expansion automation for a distributed RAG service (4000+ TPS), cutting launch time by 86% (28 to 4 days).
• Defined and led cross-org migration to IAM-based authN/authZ across 5 teams (12 engineers), ensuring zero security incidents.
• Reduced config deployment time by 57% (7 to 3 hours) by decomposing a monolithic stack and enabling parallel deployments.
• Accelerated service packaging by 4.8x (2h28m to 33m) by identifying and removing a 12GB ECS sidecar bottleneck.
• Mentored 3 engineers to promotion and interviewed 40+ candidates as part of Bar Raiser training.

Tech: Java, Python, TypeScript, React, Step Functions, Lambda, SageMaker, S3, DynamoDB

• Architected an LLM-powered document generation service using RAG, taking it from design through production and reducing report generation time from 30+ hours to under 2 minutes with >95% grounding accuracy.
• Built a no-code analytics automation platform saving 57K analyst hours annually and reducing time-to-insight by 90%.
• Designed an event-driven demographic reporting workflow using Step Functions to orchestrate distributed Spark jobs via asynchronous polling, replacing manual Redshift exports and shrinking processing time by 75%.

Tech: Java, TypeScript, React, Kinesis, S3, DynamoDB, API Gateway, Elasticsearch

• Led migration of Orders API for 60+ internal clients, delivering an adapter library with async shadow testing; improved latency by 42% and reduced infrastructure costs by $60K annually.
• Built an automated order cancellation workflow reducing 93.9K annual seller contacts and saving $11.2M per year.
• Designed a plugin system for backend-driven UI changes, reducing files touched per change by 75%.
• Resolved a high-impact DynamoDB issue, reducing UI 5xx errors by 98% via exponential backoff and retry strategies.

Tech: Python, React, Cassandra, MySQL, Kafka, GraphQL

• Built campaign control and reporting systems for 150K+ customers, supporting $1B+ in annual advertising revenue.
• Improved retention by $4M+/year by designing and running A/B experiments to optimize advertiser tools.