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Vetted Containerization Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in Java/Spring Boot microservices and React on AWS
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Junior AI Engineer specializing in LLM systems and network automation
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Senior DevSecOps Engineer specializing in secure cloud-native CI/CD platforms
Senior Full-Stack Engineer specializing in payments and commerce platforms
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Junior Software Engineer specializing in full-stack web and data platforms
Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations
Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
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.”
Dennis Noto
Executive Technology & Security Leader specializing in FinTech, AI platforms, and enterprise modernization
“Technology transformation leader who builds board-approved roadmaps and scales engineering orgs with strong Agile execution. Led large modernization efforts (e.g., Scottrade: 3,000 programs/4M LOC in 18 months) and scaled POCs into enterprise SaaS platforms using Docker, Kubernetes, Helm, and Terraform for high-concurrency workloads.”
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.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Backend Engineer specializing in Python workflow orchestration and automation
Executive Technology & Engineering Leader specializing in AI, SaaS, and cloud platforms