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Vetted Logging Professionals
Pre-screened and vetted.
Mid-level Full-Stack Engineer specializing in cloud-native microservices
Staff Software Engineer specializing in payments platforms and event-driven microservices
Staff Software Engineer specializing in payments platforms and event-driven microservices
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-Level Software Engineer specializing in FinTech trading and portfolio platforms
Mid-Level Software Engineer specializing in scalable systems and applied machine learning
Mid-level Software Engineer specializing in backend systems, cloud microservices, and AI-driven automation
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI risk scoring
Senior DevOps / Cloud / Site Reliability Engineer specializing in AWS and Kubernetes
Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations
Mid-Level Backend Software Engineer specializing in Java/Spring Boot microservices on AWS
Mid-Level Software Engineer specializing in AI platforms and backend systems
Executive CTO/VP Engineering specializing in high-performance AI, data systems, and distributed infrastructure
Khaliun Gerel
Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms
“Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.”
Matthew Mullins
Senior Software Engineer specializing in AI/ML backend and cloud infrastructure
“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”
Swastik Chowdhury
Mid-level Data Engineer specializing in cloud data platforms and real-time streaming
“Worked on onboarding a Middle East logistics client processing thousands of invoices/month, building a production-ready pipeline that routes known vendor PDFs to deterministic regex parsers via Tax ID matching and falls back to LlamaParse for unknown layouts. Added financial consistency validation plus human-in-the-loop review and logging/metrics to continuously reduce LLM usage and improve template coverage.”