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Vetted scikit-learn Professionals
Pre-screened and vetted.
Senior QA Automation Engineer specializing in API/UI automation and CI/CD
Staff-level AI/ML Engineer specializing in enterprise RAG, agentic automation, and AI governance
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Junior Research Data Scientist specializing in healthcare analytics and real-world evidence
Mid-Level Software Engineer specializing in cloud-native microservices and Healthcare IT
Senior Software Engineer specializing in distributed AI/ML and GenAI platforms
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Mid-level Data Scientist / ML Engineer specializing in LLMs and predictive analytics
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Deeksha V
Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments
“Backend engineer focused on financial systems, having evolved payments and reconciliation platforms using Python/FastAPI and PostgreSQL with an emphasis on idempotency, validation, and consistency. Has led monolith-to-services migrations using feature flags and shadow traffic, and implements defense-in-depth security (OAuth2/JWT plus DB-level row security) for multi-tenant environments.”
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%.”
Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Mid-Level Software Engineer specializing in Java/Spring Boot microservices and cloud DevOps
Senior Data Engineer specializing in multi-cloud data platforms and generative AI