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Vetted Schema Validation Professionals
Pre-screened and vetted.
Mid-level AI/ML & Data Engineer specializing in NLP and AWS serverless pipelines
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Software Engineer and Data Engineer specializing in AI products and real-time analytics
Junior Software Engineer specializing in full-stack and AI-powered developer tools
Mid-level Data Scientist / ML Engineer specializing in applied ML, MLOps, and LLM agents
Mid-level QA Automation Engineer specializing in UI/API automation and CI/CD testing
Junior Data Engineer specializing in ETL/ELT pipelines and GenAI RAG systems
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Mid-level AI & Backend Engineer specializing in LLM automation and distributed microservices
Junior Full-Stack & iOS Developer specializing in distributed systems and cloud deployment
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Mid-level Machine Learning Engineer specializing in NLP and AWS data pipelines
Mid-level Full-Stack Developer specializing in data platforms and analytics dashboards
Mid-level Backend Python Developer specializing in APIs, ETL, and transaction processing
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Junior Software Engineer specializing in distributed systems and cloud microservices
revanth polthi
Mid-level Data Scientist specializing in Generative AI and MLOps
“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Chukwuebuka Ernest-Opara
Mid-Level Full-Stack Software Engineer specializing in Cloud, DevOps, and Platform Engineering
“Backend/Node.js-focused engineer who improved a widely used shared config/logging utility library by fixing a real-world async race condition (single disk read under concurrency) and adding stronger validation/testing, resulting in more deterministic services and faster startup/build/CI times. Also builds internal platform automation spanning Python/Go/TypeScript with strong documentation practices and security-conscious customer onboarding (e.g., sensitive Kubernetes clusters, HashiCorp Vault access issues).”
Michael Erfman
Senior Software Engineer specializing in enterprise platforms and data engineering
“Backend/data platform engineer who owned an enterprise Django REST + PostgreSQL reporting backend and built Python ETL pipelines to normalize 3M+ legacy customer records, improving data reliability by 85%. Strong Kubernetes/GitOps practitioner (Helm, ArgoCD, Jenkins/GitHub Actions) with real-world production debugging experience, plus Kafka streaming at 5M events/day and a zero-downtime monolith-to-event-driven microservices migration on AWS that cut infra costs by 42%.”