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Vetted OpenTelemetry Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in distributed systems and FinTech
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Mid-Level Full-Stack Software Engineer specializing in cloud, security, and distributed systems
Mid-level SDET specializing in test automation, API/microservices QA, and cloud-native CI/CD
Mid-level DevOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation
Senior Full-Stack Java Developer specializing in microservices, cloud, and real-time systems
Senior Software Engineer specializing in video streaming and media platforms
Senior Software Engineer specializing in backend systems and AI-driven automation
Mid-level Software Engineer specializing in backend systems and LLM-powered AI applications
Mid-Level Backend Software Engineer specializing in distributed systems and observability
Senior Backend Engineer specializing in cloud-native microservices and secure APIs
Senior Software Engineer specializing in Healthcare IT platforms
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
keerthana medaveni
Mid-Level AI/ML Software Engineer specializing in agentic LLM systems
“Built and deployed a production LLM-powered multi-agent compliance copilot (life sciences/finance) using LangChain/LangGraph + RAG over vector databases, delivered via async FastAPI on Kubernetes. Emphasizes audit-ready, deterministic outputs with schema constraints and citations, plus rigorous evaluation/monitoring; reports 60%+ reduction in manual research time and successful production adoption.”
“LLM/agent workflow engineer with healthcare experience (CVS/CBS Health) who built and deployed a production call-insights platform using Azure OpenAI + LangChain/LangGraph, including sentiment and compliance checks. Demonstrates deep HIPAA/PHI handling (tenant-contained processing, redaction, RBAC/encryption/audit logging) and production rigor (testing, eval sets, validation/retries, autoscaling) to scale to thousands of transcripts.”