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Vetted AWS Step Functions Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in production ML systems, GenAI, and AWS
Mid-level Software Development Engineer specializing in cloud-native microservices on AWS
Senior Software Engineer specializing in cloud-native .NET microservices and GenAI
Senior Full-Stack Engineer specializing in AI-powered healthcare and search platforms
Principal AI & Cloud Architect specializing in banking and healthcare platforms
Senior Software Engineer specializing in AI platforms and distributed systems
Senior Backend Developer specializing in AWS cloud-native microservices and data pipelines
Senior Backend Engineer specializing in AWS serverless platforms for FinTech and Healthcare
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
Senior Machine Learning Engineer specializing in GenAI and LLM-powered systems
Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Mid-level AI Software Engineer specializing in agentic AI, RAG, and data engineering
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”
Nagasaikumar Jampani
Mid-level AI/ML Engineer specializing in Generative AI and RAG pipelines
“AI/LLM engineer with healthcare domain experience who built a production clinical support “chart bot” for Molina, including PHI-safe ingestion of 200k+ PDF policies, vector retrieval, and a fine-tuned LLaMA served via vLLM on ECS Fargate. Demonstrated measurable performance wins (HNSW + namespace partitioning; 30% inference latency reduction) and a rigorous evaluation/monitoring approach, while partnering closely with nurses and operations teams to shape workflows and guardrails.”
Mid-level Full-Stack Engineer specializing in cloud-native enterprise applications
Mid-Level Full-Stack Software Engineer specializing in cloud-native FinTech and ERP systems
Mid-level AI/ML Engineer specializing in cloud MLOps and scalable model deployment