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Vetted gRPC Professionals
Pre-screened and vetted.
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in cloud-native platforms and distributed systems
Senior Full-Stack Engineer specializing in scalable web, cloud, and engagement systems
Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Anirudha Deo
Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms
“Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.”
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”
Senior Software Engineer specializing in cloud microservices, payments, and analytics
Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Senior Software Engineer specializing in cloud-native distributed systems
Staff Software Engineer specializing in commerce, checkout, and payments platforms