.png){kind=logo}
Vetted Gradle Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and cloud deployment
Mid-Level Software Engineer specializing in cloud-native microservices and data platforms
Mid-Level Full-Stack Software Developer specializing in Financial Services
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Software Developer specializing in full-stack and microservices development
Mid-level QA Engineer / SDET specializing in UI/API automation and cloud-native CI/CD
Mid-level Full-Stack Software Engineer specializing in cloud-native healthcare and FinTech systems
Mid-level Full-Stack Engineer specializing in Java/Spring microservices and modern web apps
Mid-Level Software Engineer specializing in Java microservices and real-time systems
Mid-Level Backend Java Developer specializing in Spring Boot and REST APIs
Mid-Level Software Engineer specializing in distributed systems and AI/ML
Mid-Level Full-Stack Developer specializing in Java/Spring microservices and modern web UI
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”
Jyothiraditya Madina
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
“Candidate has hands-on experience at Cognizant building production-grade automation and integration solutions across Python ML services, Java microservices, Kafka, and Selenium-based UI testing. They stand out for a strong reliability mindset—covering failure modes, observability, flaky test hardening, and translating ambiguous payment-system business processes into resilient end-to-end automated workflows.”
Mid-level Backend Software Engineer specializing in Java microservices and Azure cloud