Vetted AWS Professionals

“Backend engineer who owned and shipped a campaign analytics API (FastAPI/Postgres/Redis/Celery) with ingestion from Instagram/YouTube, JWT auth, tests, and Docker deployment; improved performance from >1s to <150ms using precomputed aggregates and composite indexes. Experienced with Kubernetes GitOps using GitHub Actions + ArgoCD (zero-downtime rollouts, one-click rollbacks), Prometheus/Grafana observability, hybrid cloud-to-on-prem migrations, and real-time notification streaming via Redis Pub/Sub + WebSockets.”

“Technology veteran (28 years) building a security/infrastructure/AI startup with a working prototype and no capital raised yet. Demonstrated practical ROI-driven execution by uncovering SaaS license waste via API integrations, then enabling cost reduction through IT support guides and AI-based automation, using phased production-readiness planning and free-tier cloud resources.”

“Backend/AI engineer who has built and operated production Node.js/Express services on AWS (Postgres/Redis) and has hands-on experience shipping an AI-powered support agent using RAG (Pinecone + LLM) with grounding checks and evaluation for hallucination rate. Demonstrates strong production reliability/performance debugging, including reducing peak latency from ~2s back to sub-300ms through query and caching optimizations, plus designing agent workflows with retries and human-in-the-loop escalation.”

“CTO/co-founder who spent the last 6 years running a Singapore venture studio (Undercurrent Capital), performing technical and business due diligence and leading ventures from ideation through growth. Notably built a MAS-regulated bond issuance platform (Cache) for a commodities brokerage, integrating onboarding, back-office, margin calls, and regulated money flows, attracting $120M USD in the first month.”

“Player-coach engineering leader who stayed hands-on (coding/reviews) while leading delivery, including designing an event-driven AI workflow engine with explicit state modeling and robust retries. Built near real-time enterprise analytics for campaign measurement and drove reliability/process improvements (observability, incident runbooks, release management). Introduced lightweight CI/CD and automated testing to cut release time by ~40% while maintaining quality.”