.png){kind=logo}
Vetted Data Governance Professionals
Pre-screened and vetted.
Director-level AI Engineering Leader specializing in LLMs, ML platforms, and cloud transformation
Senior Data Scientist and Machine Learning Researcher specializing in NLP, LLMs, and MLOps
Senior Product Marketing & Research Strategist specializing in AI-enabled GTM for SaaS and Real Estate
Varun Rao
Junior Data Scientist specializing in generative AI and RAG systems
“Data scientist at Guardian Airwaves building a RAG-powered quiz generator using Grok AI, with hands-on experience solving hard document-ingestion problems (PDFs with images/tables) via unstructured.io and LlamaIndex. Has deployed production systems on AWS EC2 and brings a pragmatic approach to agent reliability (human-in-the-loop, LLM-based eval, latency/cost metrics) while effectively translating RAG concepts to non-technical stakeholders.”
“At Liberty Mutual, built a production underwriting decision assistant combining LLM reasoning with quantitative models and strong auditability. Implemented a claims-based response verification pipeline that cut hallucinations from 18% to 3% and materially improved user trust/validation scores. Experienced orchestrating ML/LLM workflows end-to-end with Airflow, Kubeflow Pipelines, and Jenkins, including SLA-focused pipeline hardening.”
Jeffery Bray
Executive Board Director & Healthcare/AI Strategy Leader
“Operator-advisor with deep healthcare/pharmacy leadership: CEO of MedQuest Pharmacy for over a decade and cofounder/CEO of Vibrix Pharmacy and Vibrix Technologies. Known for architecting scalable operating models (decision rights, role scorecards, workflow mapping, communication cadences) and aligning cross-functional teams—including product/engineering/compliance—while mentoring founders through practical, low-bureaucracy systems.”
Lakshmi Meghana
Mid-level AI/ML Engineer specializing in production ML, MLOps, and NLP
“Built and deployed a transformer-based clinical document classification system that processes unstructured clinical notes in a HIPAA-compliant healthcare setting, served via FastAPI on AWS and integrated into an Airflow/S3 pipeline. Demonstrates strong end-to-end MLOps skills (data quality remediation, low-latency inference optimization, monitoring with MLflow/CloudWatch) and effective collaboration with clinicians to drive adoption.”
Mid-level CRM & Lifecycle Marketing Specialist specializing in Dynamics 365 and multi-channel campaigns
Mid-Level Full-Stack Software Engineer specializing in cloud-native FinTech and AI systems
Junior Data Engineer specializing in cloud data pipelines and warehousing
Senior Data Engineer specializing in cloud lakehouse and AI/ML pipelines
Intern AI/Software Engineer specializing in backend systems, cloud infrastructure, and GenAI
Mid-level Forward Deployed Engineer specializing in Healthcare Data & AI
Junior AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Mid-level Data Engineer specializing in cloud ETL and big data pipelines
Senior Data Engineer specializing in Azure/AWS lakehouse and real-time analytics
Director-level Data & Analytics Manager specializing in ML, Snowflake ELT, and RAG
Mid-level Forward Deployed Engineer specializing in LLM agents and RAG/CAG systems
Junior Data Scientist/Data Engineer specializing in ML, analytics, and cloud data pipelines
Mid-level Data Scientist specializing in ML pipelines and real-time analytics
Mid-level Data Engineer specializing in cloud ETL/ELT and real-time streaming
Mid-level AI/ML Engineer specializing in MLOps, fraud detection, and predictive analytics
Mid-level Data Engineer specializing in cloud data pipelines for Healthcare and FinTech