Vetted AWS IAM Professionals

“AI/full-stack engineer with hands-on production experience across React/TypeScript, Go, and Python, spanning an early-stage education startup and a compliance-sensitive internal healthcare data platform. Stands out for shipping LLM and retrieval-based products with measurable impact, including a 27% recommendation improvement, support for 1M+ daily events, and a 19% lift in task completion in a secure, auditable environment.”

Shivam Gupta

Screened

Mid-level Software Engineer specializing in distributed systems, AI, and FinTech

USA5y exp

“Full-stack engineer with experience at AWS and Barclays, spanning large-scale cloud infrastructure, customer-facing product development, and production GenAI systems. Stands out for owning systems end-to-end—from backend architecture and frontend UX to AI reliability and cost optimization—with measurable impact including 25% fewer support tickets, 10% subscription growth, and debugging time reduced from 30 minutes to 5 minutes.”

“Engineer with a rare mix of Android, backend, and AI workflow automation experience, spanning Amazon Flex mobile features and legal-tech document automation. Built a globally used in-app recording pipeline at Amazon and previously helped cut immigration legal drafting time by ~50% through AI-assisted document parsing, form filling, and human-in-the-loop review.”

“Backend/data engineer with Optum healthcare claims domain experience building high-reliability Python microservices (FastAPI/Kafka/Postgres) and AWS data platforms (EKS, Glue, Redshift). Demonstrated strong production ownership: fixed duplicate Kafka processing via transactional outbox/idempotency, scaled to millions of daily events, and delivered major SQL performance gains (40+ min to <5 min, ~60% CPU reduction). Seeking remote-only work; targets $130k base.”

Chaithanya Konda

Screened

Mid-level Data Engineer specializing in multi-cloud analytics platforms

Waltham, MA6y exp

“Data engineer with hands-on GCP platform experience spanning BigQuery, Cloud SQL, Dataflow, and Cloud Composer, including both production operations and cloud migration work. They led a migration from legacy SQL Server/Oracle systems to a cloud-native BigQuery architecture and cite measurable impact: processing reduced from hours to minutes, query latency improved 60%+, and ingestion time improved 40%.”

“Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.”

“Senior software engineer candidate who uses AI and multi-agent workflows thoughtfully to speed up development while preserving engineering rigor for production-critical decisions. Stands out for a clear risk-based framework: leveraging agents for boilerplate, refactoring, testing, and debugging, while relying on fundamentals, metrics, and human review for system design and scalability.”

“Software engineer with experience spanning early-stage startup architecture and large-scale Amazon product development. They’ve driven search and data-platform decisions in a 20-person startup, built full-stack React/Python tools that automate internal workflows, and shipped marketplace expansion and personalization features impacting 200k sellers and millions of end users.”