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Vetted Schema Validation Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Java Developer specializing in microservices and real-time data systems
Junior Data Engineer specializing in cloud data pipelines and LLM/RAG systems
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in lakehouse and cloud data platforms
Senior Software Engineer specializing in full-stack, data, and ML systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps in financial services
Mid-level Full-Stack Developer specializing in React, Spring Boot, and cloud microservices
Senior Data Scientist / ML Engineer specializing in computer vision and production ML systems
Mid-level Data Engineer specializing in scalable batch/streaming pipelines and cloud data platforms
Junior Full-Stack Engineer specializing in React, Node.js, and event-driven systems
Mid-level Data Engineer specializing in real-time streaming and ML feature pipelines
Mid-level Software Engineer specializing in full-stack and cloud data platforms
Mid-level AI & Machine Learning Engineer specializing in agentic workflows and RAG/GraphRAG
Senior Software Engineer specializing in distributed data platforms and GenAI automation in BFSI
Staff-level AI/ML Engineer specializing in enterprise RAG, agentic automation, and AI governance
Mid-level Customer Success Engineer specializing in application security and FinTech integrations
Rafael Ortega
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”
Pavan Kalyan
Mid-level AI Engineer specializing in GenAI agents and RAG for IT operations
“Built and operates a production LLM agent for enterprise IT operations that triages and drafts resolutions for high-volume ServiceNow tickets using LangChain + RAG (Pinecone/pgvector) and AWS Bedrock/OpenAI. Emphasizes reliability with schema-validated stages, offline eval datasets from real tickets, and CloudWatch-driven monitoring/guardrails; system scales to 40K+ tickets/month and cut resolution time ~28%.”
Fatema Tuzzohra
Senior Full-Stack Java Developer specializing in banking and healthcare platforms
“Enterprise-focused full-stack/backend engineer with hands-on experience shipping a production LLM-powered document analysis platform for internal operations teams. They combine cloud-native microservices expertise across AWS/Azure with practical agent-system design, including async orchestration, model routing, observability, and safeguards for hallucinations, failures, and human-review fallbacks.”
Yashwanth Thalla
Senior Software Development Engineer specializing in backend systems and data pipelines
“Backend-focused engineer with healthcare and finance experience (Cardinal Health, JPMorgan) who has owned end-to-end data flows powering dashboards, emphasizing strong validation/data quality and measurable frontend performance gains. Has shipped Spring Boot REST APIs with versioning and Swagger docs, and has stood up an MVP task management system with GitHub Actions CI/CD, Docker, and AWS EC2 deployment.”