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Vetted gRPC Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in distributed systems and cloud data pipelines
Mid-Level Software Engineer specializing in cloud-native microservices and FinTech
Senior Site Reliability Engineer specializing in multi-cloud DevOps and Kubernetes
Senior Software Engineer specializing in Python, cloud platforms, and scalable web applications
Mid-level AI/ML Engineer specializing in NLP and MLOps for regulated industries
Mid-Level Full-Stack Software Developer specializing in cloud-native microservices
Mid-level Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Developer specializing in FinTech and modern web platforms
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Full-Stack .NET Developer specializing in microservices and cloud deployments
Engineering leader specializing in cloud-native regulated healthcare SaaS
Mid-level Full-Stack Engineer specializing in FinTech and real-time distributed systems
Senior Full-Stack Engineer specializing in cloud-native microservices and AI solutions
vedavathi thumula
Mid-level GenAI/ML Engineer specializing in agentic AI and RAG systems
“Backend/platform engineer who has owned a Python/FastAPI results API and deployed it on Kubernetes with Helm and GitHub Actions-driven CI/CD. Demonstrates strong production operations mindset across performance tuning, monitoring, safe rollouts/rollbacks, and phased migrations, plus hands-on Kafka streaming experience focused on ordering and idempotency.”
Mohana Satyanarayana Moganti
Mid-Level Software Engineer specializing in Cloud Infrastructure and Full-Stack Platforms
“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”
Sharanya Rao
Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG for finance and healthcare
“Built an AI lending assistant (RAG + DeBERTa) used by credit analysts to retrieve policies and past loan decisions, tackling real production issues like hallucinations, document quality, and sub-second latency. Deployed a modular, Dockerized AWS architecture (ECS/EMR + load balancer) with load testing, caching/precomputed embeddings, and CloudWatch monitoring, and used Airflow to automate scheduled data/embedding/vector DB refresh pipelines with retries and alerts.”