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Vetted Design Patterns Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in AI-driven full-stack systems
Mid-level Full-Stack Engineer specializing in frontend architecture and AI platforms
Senior Software Engineer specializing in backend platforms and full-stack web systems
Staff Software Engineer specializing in distributed systems, blockchain, and AI/ML platforms
Senior .NET Full-Stack Developer specializing in healthcare and financial services
Principal Full-Stack Engineer specializing in Healthcare IT and FinTech
Mid-level Full-Stack Java Developer specializing in banking and enterprise web applications
Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Mid-level Software Engineer specializing in backend APIs, cloud deployments, and enterprise automation
Mid-level Full-Stack Engineer specializing in cloud-native enterprise applications
Senior Software Engineer specializing in backend APIs and cloud-native services
Mid-Level Software Engineer specializing in full-stack web development and cloud DevOps
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in Java, Angular, and distributed systems
“Game developer who implemented the battle simulation/progression system for "Gladiator Imperium," focusing on turn logic, stat-driven combat, and player-facing feel through UI and camera polish. Also has experience modernizing a 10+ year legacy project by refactoring into new frameworks and even migrating to a different programming language, leveraging AI to interpret undocumented code.”
Sadha Alla
Mid-level Software Engineer specializing in Java microservices and ML model integration
“Backend/ML platform engineer who owns end-to-end delivery of ML-serving APIs (FastAPI + TensorFlow) and runs them reliably on Kubernetes using ArgoCD GitOps. Has hands-on experience solving production-only issues (probe tuning for model warm-up, resource profiling) and building scalable Kafka streaming pipelines, plus supporting phased on-prem to AWS migrations with dependency discovery and recreation of hidden jobs/workflows.”