.png){kind=logo}
Vetted Alerting Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend, cloud, and real-time/robotics systems
Senior Software Engineer specializing in backend workflow orchestration (FinTech & Healthcare)
Senior Software Engineer specializing in data platforms, automation, and ML/LLM pipelines
Mid-level Cloud DevOps Engineer specializing in AWS/Azure, Kubernetes, and IaC
Mid-level Full-Stack Engineer specializing in AI-powered cloud applications
Mid-level Full-Stack Engineer specializing in FinTech and enterprise platforms
Senior Software Engineer specializing in high-scale SaaS backend systems
Intern Software Engineer specializing in cloud-native distributed backend systems
Engineering Leader specializing in growth platforms and transaction systems
Senior DevOps / Cloud / Site Reliability Engineer specializing in AWS and Kubernetes
Senior Software Engineer specializing in backend platforms and data pipelines
Senior Software Engineer specializing in full-stack SaaS and compliance platforms
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.”
Yoga Sathyanarayanan
Junior Software Engineer specializing in backend, distributed systems, and AI infrastructure
“Full-stack engineer with hands-on experience spanning real-time AI products, large-scale payments migration, internal research infrastructure, and open-source ML tooling. Particularly compelling is the mix of low-latency React/Node/TypeScript systems work, zero-downtime migration of 50,000 accounts across 12 regions, and proactive contributions to Kubeflow build and security reliability.”
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.”
Jugal Rayala
Mid-level Full-Stack Developer specializing in AI-powered cloud applications
“Full-stack engineer who has owned customer-facing AI recommendation and analytics dashboards end-to-end (backend APIs/data processing through React UI, deployment, and monitoring). Demonstrates strong systems thinking around scaling microservices—using observability, caching, async workflows, and resilience patterns—and also built an internal ops dashboard that became the default tool for on-call incident reviews.”
Jenny Cheng
Junior Full-Stack/ML Engineer specializing in LLM applications and cloud deployment
“Full-stack developer with capstone and project experience delivering production-ready systems in unstructured environments, including a Faculty Tracking system for real departmental use. Strong in React performance debugging (re-render optimization with useMemo), Prisma-backed multi-database setups (MySQL local / SQL Server production on a UCI Health VM), and end-user support workflows that feed back into improved Help documentation.”