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Vetted dbt Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in full-stack web and data platforms
Mid-level Data Scientist & AI Engineer specializing in healthcare and financial risk analytics
Senior Data Scientist / ML Engineer specializing in NLP and Generative AI
Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Senior Data Engineer specializing in AWS serverless and real-time data platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming platforms
Mid-level Data Engineer specializing in cloud lakehouse pipelines and analytics datasets
Intern software engineer specializing in full-stack, data engineering, and ML systems
Mid-level Data Engineer specializing in healthcare analytics and AI pipelines
Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics
Mid-level Data Engineer specializing in financial data engineering and scalable pipelines
Aldric Pinto
Mid-level AI product and data lead specializing in analytics and healthcare AI
“Product-minded software engineering lead with a blend of backend, data engineering, cloud observability, and AI product experience. They’ve owned systems end-to-end, from ETL job builders that cut setup time 70% to hybrid-cloud observability workflows that reduced monitoring effort 80%, and also drove an AI marketing feature that improved conversion from 2% to 6%.”
Senior Data Engineer specializing in multi-cloud data platforms and generative AI
Srinivas Tenneti
Mid-level AI/ML Engineer specializing in GenAI and predictive modeling
“Built and deployed a GPT-4-powered medical assistant for clinical staff to reduce time spent searching guidelines and EHR information, with a strong emphasis on safety and compliance. Uses strict RAG, confidence thresholds, and fallback behaviors to prevent hallucinations, and runs production-grade workflows orchestrated with LangChain/LangGraph plus Docker/Kubernetes/MLflow and monitoring for reliability and cost.”
David Wisdom
Mid-level Data & Machine Learning Engineer specializing in production ML and data platforms
“Built and deployed a production LLM system that scraped Google Maps menu photos, extracted structured prices via OpenAI, and cross-validated them against website-scraped data to automate data-quality verification at scale (replacing costly manual contractor checks). Demonstrates strong reliability instincts—precision-first prompting, output gating with image-quality metadata, and fuzzy matching/RAG techniques—plus solid orchestration (Dagster/Airflow) and observability (Sentry, Prometheus/Grafana).”