.png){kind=logo}
Vetted Schema Validation Professionals
Pre-screened and vetted.
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 Machine Learning Engineer specializing in MLOps, LLM/RAG systems, and scalable data pipelines
Mid-Level Software Engineer specializing in backend systems, cloud microservices, and data pipelines
Senior Data Engineer specializing in cloud data platforms and lakehouse architecture
Mid-level Software Engineer specializing in full-stack web and microservices development
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
Mid-level Business Analyst specializing in BI, predictive analytics, and operations
Anisha Roseline Milton Fernandes
Mid-level Software Engineer specializing in FinTech and AI/ML
“Full-stack engineer with payments/settlement domain experience who modernized a payment tracking workflow from REST to GraphQL and delivered a production payment status dashboard using Next.js App Router + TypeScript. Strong in performance and reliability work (Postgres indexing/Explain Analyze, Redis caching, Datadog observability) and in durable event-driven processing with Kafka (DLQs, idempotency, reconciliation, event replay).”
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.”
Tanya Rodrigues
Mid-level Software Engineer specializing in cloud-native AI and full-stack systems
“Application-focused software engineer working on AI-heavy products, with hands-on experience building end-to-end document processing, retrieval, and configurable workflow systems. Particularly strong in combining React/TypeScript UX, FastAPI/Postgres backend design, and LLM workflow reliability improvements through validation, prompt iteration, and reusable abstractions.”