Vetted Cloud Infrastructure Professionals

“Hands-on engineering leader currently at Vianai (GenAI enterprise applications) building AI-assisted data exploration/insights products with Python and React. Previously Corporate VP of Digital Health at Samsung Electronics, where they helped close key partner deals by demonstrating API-driven openness and led a major Samsung Health modernization from monolith to microservices for horizontal scalability and faster, safer iteration.”

“Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.”

Daozheng Chen

Screened

Staff Full-Stack AI Engineer specializing in FinTech and Enterprise SaaS

San Jose, CA12y exp

“Full-stack engineer with Yahoo Finance experience building AI-powered investment and analytics features. They combine modern TypeScript/React/NestJS development with strong backend systems skills in PostgreSQL, Redis, Kafka, and Kubernetes, and have driven architectural improvements from synchronous workflows to event-driven microservices in a high-traffic financial environment.”

“Senior engineering/technology leader with experience driving board-backed, multi-year platform transformations in retail commerce (American Eagle) and scaling ML/product delivery platforms at Amazon Alexa. Known for data-driven build-vs-buy decisions, org scaling (6→80), and measurable outcomes including 98.5%→99.9% uptime, 234 experiments generating ~$200M revenue lift, and increasing delivery velocity from 1.5 to 30 features/week while transitioning to DNN/large-model architectures.”

“Software engineering manager with 8+ years spanning large-scale consumer product delivery and ML-driven forecasting platforms. He has led teams of up to 15 engineers, hired 20+ people, and worked on systems serving millions of customers, including Amazon grocery/order-modification features and a forecasting platform with explainability and AI chatbot layers.”

“Full-stack engineer with recent startup experience building AI automation products end to end, from React/Next.js interfaces to Python/FastAPI services and Dockerized deployment. Particularly strong in reliability, observability, and workflow tooling for non-technical business users, with additional experience optimizing database-backed monitoring systems at Meta.”

“Operator-turned-aspiring founder with experience building CI, cloud, and AI businesses at Harness, including P&L ownership and 0-to-1 execution. Exploring an AI-native infrastructure/control-plane thesis focused on moving enterprise workflows from AI assistance to execution, with a strong emphasis on ROI, coordination gaps, and durable moats.”

“Engineer with both startup co-founder experience at Airship and production-scale product experience at Airbnb. They’ve built and scaled high-volume messaging and scheduling systems across frontend, backend, infrastructure, and databases, with particular strength in event-driven architecture, reliability, and real-time user workflows.”

“Engineering leader with deep distributed-systems expertise who led Oracle's replacement of a legacy Fusion Applications authorization service with a cloud-native Go/Kubernetes RBAC platform delivering sub-10ms latency. Combines hands-on architecture depth with org-building experience, having grown a geo-distributed team from 4 to 26 and led managers, architects, and cross-functional delivery across Oracle and Microsoft environments.”