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Vetted gRPC Professionals
Pre-screened and vetted.
Senior QA Automation Lead specializing in mobile and API testing
Senior Full-Stack Software Engineer specializing in healthcare and e-commerce platforms
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Principal Cloud & Data Architect specializing in AI-enabled AWS platforms
Executive Engineering Leader (CTO/SVP) specializing in high-load platforms and GenAI/LLM systems
SAI PRASHANTH
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”
Mid-level Full-Stack Software Engineer specializing in cloud microservices and ML integration
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Senior Full-Stack Engineer specializing in cloud-native platforms, DevOps, and Kubernetes
Mid-level Backend Software Engineer specializing in cloud microservices and distributed systems
Mid-level Full-Stack Software Engineer specializing in cloud microservices and GenAI
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Software Engineer specializing in AWS, .NET, and data/telemetry platforms
Mid-level Backend Software Engineer specializing in Go/Python distributed systems
Senior Software Engineer specializing in robotics, computer vision, and scientific instrumentation
Senior Full-Stack Software Engineer specializing in Python, React, and LLM-powered applications
Sai Krishna Sriram
Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems
“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”