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Vetted Design Patterns Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in cloud-native microservices and GenAI automation
Mid-level Full-Stack Software Engineer specializing in Spring Boot microservices and React
Mid-level Full-Stack .NET Developer specializing in microservices and cloud deployments
Mid-level Full-Stack Developer specializing in FinTech microservices
Software Engineering Manager specializing in FDA-compliant medical device software
Senior Full-Stack Python Developer specializing in Django, FastAPI, and cloud platforms
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms
Shejal Shankar
Junior Software Engineer specializing in full-stack systems and LLM automation
“Full-stack engineer who shipped a production "Financial Insight" assistant dashboard in Next.js App Router/TypeScript, integrating a RAG pipeline (embeddings + ChromaDB + LLM) via route handlers and owning post-launch performance (latency, token cost, retrieval relevance). Also built/optimized Postgres-backed workflows for an outbound dialer and callback routing engine handling ~10,000 daily contacts, validating query performance with EXPLAIN (ANALYZE, BUFFERS).”
Yusuf Abdikadir
Senior Software Engineer specializing in 3D simulation, digital twins, and robotics
“UK-based Unity developer who built a 3D simulation/digital-twin platform for an autonomous-vehicle startup, integrating Unity environments with external robotics stacks, web APIs, virtual sensing, and dynamic traffic systems. Interested in moving into VR, though has not shipped VR/Meta Quest titles yet.”
Chakrafani Chadalavada
Mid-level Full-Stack .NET Engineer specializing in Sitecore and cloud-native microservices
“Backend/web API engineer with hands-on experience deploying .NET Core APIs to Azure App Service and stabilizing production systems through disciplined log-driven troubleshooting, environment configuration management, and SQL performance tuning (execution plans, query rewrites, indexing). Has also debugged cross-layer incidents involving DB locks and network latency, and modifies Python/XML automation scripts to meet customer-specific requirements while improving logging and performance.”