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Vetted dbt Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Staff-level Data Scientist specializing in LLMs, NLP, and product experimentation
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior Engineering Manager specializing in voice analytics, data platforms, and public APIs
Mid-level Data Engineer specializing in AI/ML and cloud data platforms
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Jeffery Faneuff
Executive Engineering Leader specializing in AI-driven SaaS and IoT platforms
“Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.”
Gabriel Undrerwood
Engineering executive specializing in production ML systems and enterprise SaaS
“Engineering/data platform leader from FLYR (airline ML forecasting and automated pricing) who built scalable ingestion/ETL and a canonical data model to onboard airlines with highly heterogeneous source systems. Created a golden-metrics layer for airline KPIs and implemented monitoring/backfill capabilities, cutting onboarding time by 50%+ while improving SLA performance and controlling cloud/ML training costs through stronger data quality gates.”
Senior Full-Stack Engineer specializing in AI-powered SaaS and cloud-native analytics
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Staff Software Engineer specializing in FinTech and scalable distributed systems
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Senior Full-Stack Python Developer specializing in cloud-native RAG and microservices