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Vetted AWS IAM Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Senior Full-Stack Software Engineer specializing in cloud and enterprise web platforms
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Mid-Level Software Development Engineer specializing in AWS AI inference platforms
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Intern Machine Learning Engineer specializing in LLM systems and recommendation/search
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
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.”
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Jeffery Faneuff
Executive Engineering Leader specializing in AI-driven SaaS and IoT platforms
“Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.”
Junior Software Development Engineer specializing in AWS IAM policy verification
Senior Software Engineer specializing in cloud microservices, payments, and analytics
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Staff Software Engineer specializing in FinTech platforms and distributed systems
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior Software Engineer specializing in cloud-native distributed systems