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Vetted GraphQL Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud-native web platforms and FinTech
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Senior Backend Software Engineer specializing in cloud platforms and event-driven systems
Senior Full-Stack Software Engineer specializing in Mobile and AR/VR platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
Senior Full-Stack Software Engineer specializing in SaaS, FinTech, and Web3
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
Upender Mula
Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech
“Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.”
Andrew Coven
Executive Software Engineering Leader specializing in AI/ML products and large-scale platforms
“Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.”
Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”
Senior Software Engineer specializing in cloud-native microservices and real-time systems
Senior Software Engineer specializing in Python backend and applied AI platforms
Senior Backend/Full-Stack Software Engineer specializing in cloud microservices and APIs
Senior Full-Stack Software Engineer specializing in React/Next.js and AI-powered SaaS
Staff-level Software Engineer specializing in distributed systems and cloud platforms
Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Director-level Platform Architect specializing in cloud-native SaaS and healthcare IT
Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations
Senior Full-Stack Software Engineer specializing in real-time platforms and privacy-first AI
Senior Software Engineer specializing in AI/ML and LLM-powered applications