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Vetted ETL Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in FinTech payments infrastructure
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Mid-level Software Engineer specializing in healthcare IT and FinTech
Staff Software Engineer specializing in streaming platforms and media delivery
Senior Applied Machine Learning Engineer specializing in FinTech & E-commerce
Senior Software Engineer specializing in AI/ML and customer-facing platforms
Senior Machine Learning Engineer specializing in Generative AI and NLP
Senior Full-Stack Engineer specializing in AI, SaaS, and data platforms
Senior AI Software Engineer specializing in full-stack AI platforms
Senior Software Engineer specializing in backend systems, connectivity testing, and cloud pipelines
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Senior Software Engineer specializing in AI platforms, data systems, and full-stack development
Senior AI/ML Engineer specializing in generative AI and recommendation systems
Todd Moscinski
Staff Software Engineer specializing in cloud platforms and data pipelines
“Software engineer with a rare mix of early startup product-building and large-scale enterprise data platform work. At a 40-person digital signage startup, they wrote much of the customer-facing software, and later at Qualtrics built Go and Python ETLs, internal configuration tools, and B2B data products supporting survey analytics and custom data science workflows.”
Senior Backend Software Engineer specializing in distributed commerce and billing systems
Tolulope Akinlabi
Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk
“Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.”
Andrew Stewart
Senior Software Engineer specializing in Healthcare AI and FinTech platforms
“Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.”