Vetted Serverless Architecture Professionals

“Meta engineer who has shipped both user-facing full-stack product work and internal AI agent systems at production scale. Most notably built AuditFixer, an agentic remediation pipeline that fully automated audit-fix workflows, cut turnaround from 6-7 hours to under 1 hour, and has already produced 30+ landed diffs, while also owning the Llama API evaluation flow launched for thousands of developers.”

“Backend/data engineer with experience at AWS and Intuit building and operating production serverless systems and data pipelines. Delivered an internal AWS TV video-processing platform using Step Functions/Lambda/S3/DynamoDB with strong reliability and cost controls, and built Glue-based ETL for compliance/risk events (Kafka to partitioned Parquet). Also modernized legacy compliance systems into Java/Node event-driven services and has demonstrated measurable SQL tuning impact (200s to 20s).”

“Serverless-focused backend/data engineer who has delivered production Python services on AWS (FastAPI on Lambda/API Gateway) plus Glue-based ETL pipelines from S3 to relational databases. Strong in operational reliability (timeouts, retries, monitoring/alerts) and modernization work, including parallel-run parity validation for migrating legacy batch logic to Python services. Demonstrated measurable SQL tuning impact (15 min to under 3 min).”

“Engineering leader with hands-on product and platform experience spanning AI-powered web forms, multi-region Azure/OpenAI architecture, and full-stack team scaling. They also remain close to production systems, citing a concrete debugging example involving iOS WebView local storage behavior causing token loss in embedded mobile web forms.”

veera krishna chaitanya Arepalli

Screened

Mid-level Full-Stack Engineer specializing in AdTech and FinTech

Menlo Park, CA5y exp

“Meta product engineer with strong ad-tech experience who owned monetization and optimization features across Instagram Boost on mobile and web. They combine product analysis, experimentation, and full-stack execution, citing $9.8M/year from an upsell feature and $43K/day from feeding IG-to-WhatsApp lead signals into ad targeting. Also built an internal LLM-powered analytics agent to automate adoption-rate analysis for product teams.”