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Vetted REST APIs Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native systems
Hassaan Khan
Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML
“Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.”
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Richard Jackson
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
“Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.”
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
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.”
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Senior Software Engineer specializing in high-scale backend systems on Google Cloud
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 web and cloud platforms
Senior Full-Stack Software Engineer specializing in scalable cloud-native systems
Senior Full-Stack Software Engineer specializing in cloud platforms and healthcare data systems
Senior Python Engineer specializing in cloud infrastructure, media services, and IoT