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Vetted Material UI Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Developer specializing in MERN and AWS microservices
Staff Software Engineer specializing in cloud-native microservices and event-driven systems
Senior Full-Stack Engineer specializing in FinTech and e-commerce platforms
Mid-level Software Engineer specializing in backend microservices and API development
Staff Software Engineer specializing in scalable backend systems and observability
Staff Full-Stack & AI Engineer specializing in LLM agents, RAG, and cloud-native systems
Staff Software Engineer specializing in frontend platforms and healthcare UX
Mid-Level Software Engineer specializing in FinTech, Treasury, and Compliance Systems
Staff Software Engineer specializing in cloud-native distributed systems for healthcare
Mid-level Full-Stack & AI Backend Engineer specializing in LLM/RAG systems
Senior Full-Stack Software Engineer specializing in web and mobile platforms
Senior Full-Stack Python Engineer specializing in Django, microservices, and cloud platforms
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices
Senior Front-End Engineer specializing in React and marketing automation
Mid-level Full-Stack Developer specializing in React, Node.js, and Spring Boot
winston lo
Junior Software Engineer specializing in AI agents, RAG, and full-stack development
“Backend engineer who built and iterated a secure, multi-tenant RAG system over a large document corpus, emphasizing strict RBAC/ACL isolation, hybrid retrieval (vector+keyword), reranking, and strong observability to balance relevance, latency, and cost. Also led production refactors/migrations using strangler + feature flags/dual writes and has experience catching subtle real-world failure modes (including in a sensor calibration optimization pipeline).”
Travis Johnson
Senior Full-Stack Software Engineer specializing in FinTech payments and fraud systems
“Backend/data engineer with production experience building credit/fraud enrichment services and checkout pipelines on AWS (EKS + Lambda) using FastAPI, Kafka, Postgres, and Redis, with a strong focus on reliability patterns (timeouts/retries/circuit breakers) and observability. Has also built AWS Glue/PySpark ETL into S3/Redshift with schema evolution and data quality controls, and modernized legacy credit decisioning into Java/Node microservices with parallel-run parity validation and feature-flag rollouts.”