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Vetted Microservices Architecture Professionals
Pre-screened and vetted.
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
Russell Wong
Senior Software Engineer specializing in large-scale backend reliability and media platforms
“Backend/data engineer with experience on large-scale consumer platforms (Google and Meta), building high-traffic Python microservices (REST/gRPC) on Kubernetes with strong reliability/observability practices. Delivered AWS container-based deployments with CI/CD and IaC, and built AWS Glue ETL pipelines on S3 with schema evolution and data quality controls; also has demonstrated SQL tuning impact (15% latency reduction) and incident ownership for batch pipelines.”
Jack Ahn
Executive Technology & R&D Leader specializing in Generative AI and Digital Health
“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.”
Senior Backend Engineer specializing in AWS cloud-native systems and data workflows
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack/Backend Software Engineer specializing in distributed systems and ML ranking
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Executive Technology Leader specializing in cloud, datacenter operations, and AI strategy
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
SHIVA SANDY
Executive CTO/CIO specializing in FinTech, cloud transformation, and cybersecurity
“Banking/credit-union technology executive (CTO/CTIO) who has led modernization and product delivery through major change, including a post-merger roadmap that helped grow a credit union from $600M to $1.5B in 3 years. Hands-on leader who drove cloud microservices/API architecture, introduced CI/CD, and accelerated releases from quarterly to weekly while scaling teams and operating effectively with distributed/remote orgs.”
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior Software Engineer specializing in high-scale backend systems on Google Cloud
Senior Full-Stack Software Engineer specializing in cloud platforms and healthcare data systems
Senior Python Engineer specializing in cloud infrastructure, media services, and IoT
Staff Software Engineer specializing in AI infrastructure and distributed systems
Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms
Amit Mathur
Executive Technology Leader specializing in Wealth Management Platforms
“Technology leader from Franklin Templeton who modernized wealth management tech by launching client-facing digital web/mobile experiences via a phased data-warehouse-to-real-time strategy, while aligning internal CRM visibility for front office teams. Scaled an engineering org from 15 to ~250 (15 teams) and drove a shift from waterfall to Agile with microservices/micro-frontends and Jira-based transparency to improve delivery velocity.”
Andrew Stewart
Senior Software Engineer specializing in Healthcare AI and FinTech platforms
“Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.”
Senior Software Engineer specializing in cloud-native microservices and large-scale backend systems
Jeffrey Xuzhang
Junior Software Engineer specializing in AWS cloud systems and full-stack web development
“Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.”