.png){kind=logo}
Vetted Amazon EC2 Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native systems
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
Senior Full-Stack Engineer specializing in Python APIs and cloud platforms
Senior Software Engineer specializing in cloud platforms and healthcare AI
Senior Full-Stack Engineer specializing in AI platforms, real-time collaboration, and observability
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Engineer specializing in Python back ends and cloud-native systems
Principal/Senior Architect specializing in AI platforms and cybersecurity
Senior Full-Stack Engineer specializing in AI platforms and distributed systems
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems
Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms
Staff AI/ML Technical Leader specializing in LLM agents, ranking, and large-scale NLP platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Staff Data Scientist specializing in machine learning, deep learning, and big data
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
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
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.”
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).”
Muhammad Shoaib
Senior Site Reliability & DevOps Engineer specializing in multi-cloud Kubernetes platforms
“IBM Power/AIX infrastructure engineer who has owned large-scale Power9/AIX 7.x estates across primary/DR (VIOS/HMC/vHMC) and has deep hands-on experience with DLPAR, shared processor pool governance, and PowerHA recovery. Also brings modern DevOps/IaC capability—built Azure DevOps/GitHub CI/CD for Terraform + Kubernetes/Helm with strong security controls and resolved a production Terraform state-lock failure by redesigning backend locking and pipeline concurrency.”