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Vetted Gradle Professionals
Pre-screened and vetted.
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).”
Mid-level Backend Software Engineer specializing in Java microservices and Azure cloud
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Ravali Yerrapothu
Senior Machine Learning Engineer specializing in LLMs, RAG, and Computer Vision
“Built a production LLM-powered clinical note summarization and retrieval system that structures patient/provider/payer discussions into standardized outputs (symptoms, treatments, clinical codes, and prior-auth decisions) and stores notes as embeddings for hybrid search and proactive prior-authorization prediction. Experienced with LangChain/LangGraph orchestration, RAG, and grounding against medical code databases, and has communicated model feasibility/limitations to business stakeholders (Virtusa/Comcast).”
Vijay Kumar
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”
Shubh Dholakiya
Mid-Level Full-Stack Software Developer specializing in Java/Spring microservices and cloud
“Backend engineer who owned and shipped a campaign analytics API (FastAPI/Postgres/Redis/Celery) with ingestion from Instagram/YouTube, JWT auth, tests, and Docker deployment; improved performance from >1s to <150ms using precomputed aggregates and composite indexes. Experienced with Kubernetes GitOps using GitHub Actions + ArgoCD (zero-downtime rollouts, one-click rollbacks), Prometheus/Grafana observability, hybrid cloud-to-on-prem migrations, and real-time notification streaming via Redis Pub/Sub + WebSockets.”