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Vetted AWS Step Functions Professionals
Pre-screened and vetted.
Senior Staff Full-Stack Engineer specializing in AI copilots and cloud platforms
Senior Software Engineer specializing in AWS serverless backend and data engineering
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Deekshit Myakala
Mid-level Software Engineer specializing in cloud automation and data/ETL platforms
“Backend engineer with AWS multi-region production experience building APIs and workflow automation for data center/storage hardware operations (firmware orchestration, maintenance checks, ticketing, dashboards). Also shipped an internal AI chat tool that parses hardware runbooks and incorporates user feedback to retrain the model, and has a strong testing/quality discipline (95%+ coverage) plus database performance tuning via indexing and query monitoring.”
“Software engineer with experience at Amazon and Agora building end-to-end systems: a knowledge-base AI chatbot (React/TypeScript UI + retrieval/response backend + Docker deployment) and an internal approval governance platform using AWS Step Functions and DynamoDB. Emphasizes fast iteration without sacrificing trust via feature-flag rollouts, citation-required answers, abstention on low-confidence retrieval, regression query sets, and strong observability (request IDs, structured logs, latency/error monitoring).”
Tianyi Wang
Entry-Level Backend/Cloud Engineer specializing in distributed systems and AI platforms
“Full-stack engineer with deep serverless AWS experience who built VidToNote, an AI video analysis platform, end-to-end using Next.js App Router/TypeScript and an event-driven pipeline (API Gateway, Lambda, DynamoDB, S3, Step Functions, SQS). Strong on production reliability and observability (CloudWatch, X-Ray, structured logging), plus data/analytics work in Postgres with measurable query optimizations and durable LLM evaluation workflows. Amazon background; integrated 22 AWS services and completed AWS Solutions Architect Professional certification within a month.”
Damik Bermudez
Staff Software Engineer specializing in Healthcare platforms and AI data pipelines
“Backend/data engineer with hands-on production AWS experience spanning serverless APIs (Chalice/Lambda/API Gateway/Cognito) and data pipelines (Glue PySpark + Step Functions). Has modernized a legacy SAS reporting system into AWS microservices and implemented schema-drift detection and incident prevention for ETL workflows, plus measurable SQL tuning wins (30 min to <10 min runtime).”
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Mid-level Python Developer specializing in cloud data engineering and ETL/real-time pipelines
Senior Software Engineer specializing in Python, AWS, and cloud-native backend systems
Senior Backend Software Engineer specializing in Python and AWS cloud services
Senior Software Engineer specializing in distributed backend services and data pipelines
Mid-Level Software Development Engineer specializing in AWS cloud, data pipelines, and MLOps
Junior Cloud & Full-Stack Engineer specializing in AWS and Kubernetes automation
Senior Backend Engineer specializing in Python and AWS cloud services
Mid-level Software Development Engineer specializing in AWS incident management and AI analytics