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Vetted Azure DevOps Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native SaaS and event-driven microservices
Senior Software Engineer specializing in full-stack web platforms and cloud-native backend systems
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Executive Engineering Leader (VP/CTO) specializing in cloud-native platforms and AI/ML
Senior DevSecOps Engineer specializing in secure cloud-native CI/CD platforms
Senior Full-Stack Software Engineer specializing in cloud and enterprise web platforms
Mid-Level Software Engineer specializing in backend, cloud, and CI/CD automation
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Intern Machine Learning Engineer specializing in LLM systems and recommendation/search
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.”
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
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Software Engineer specializing in distributed systems and big data
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Senior QA Automation Engineer specializing in web, mobile, and API testing