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Vetted Design Patterns Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in C++/Python systems for real-time FinTech platforms
Senior Backend/Cloud Engineer specializing in Java, Spring Boot, and AWS
Senior Software Developer specializing in cloud-native microservices and GenAI/ML
Mid-level Full-Stack Software Engineer specializing in cloud microservices and FinTech
Mid-Level Software Developer specializing in full-stack and microservices development
Mid-level Full-Stack Engineer specializing in Java/Spring microservices and modern web apps
Mid-level Back-End Engineer specializing in Python, Kubernetes, and Kafka streaming
Mid-Level Software Engineer specializing in Java microservices and real-time systems
Mid-level Cloud & DevSecOps Engineer specializing in AWS, Java microservices, and SOC operations
Mid-Level Software Development Engineer specializing in cloud platforms, IAM, and secure GenAI
Mid-level Software Engineer specializing in backend, DevOps, and cloud infrastructure
Senior Software Engineer specializing in React/Next.js enterprise web platforms
Mid-level Full-Stack Engineer specializing in Healthcare IT and FinTech
Senior Full-Stack Engineer specializing in web, mobile, and cloud applications
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Executive technology leader specializing in crypto, iGaming, and platform engineering
Anuj Goswami
Mid-level Frontend Software Developer specializing in React and React Native
“Frontend engineer (Teradata) who led an enterprise analytics dashboard end-to-end, building complex React + TypeScript interfaces with near-real-time updates and large data volumes. Strong track record in scalable frontend architecture, performance tuning (render optimization, payload reduction), and quality at speed via CI/CD, automated regression testing, and incremental rollouts in an Agile environment.”
Divya Narahari
Mid-level Software Engineer specializing in AI/ML systems and backend platforms
“New grad focused on AI systems and agent-based development, with hands-on experience using LLMs as a coding partner and building RAG-based document processing workflows. Stands out for practical experimentation with semantic chunking, retrieval optimization, and multi-agent architectures, including redesigning a RAG workflow by adding a reasoning agent to improve response accuracy and reliability.”