Vetted SQL Professionals

Lionzy Tanis

Screened

Mid-level Product Manager specializing in cloud, AI, and enterprise systems

Dallas, TX7y exp

“Product/operations-focused transformation professional with experience spanning AWS/Oracle cloud environments and regulated healthcare revenue workflows. Stands out for translating messy business problems into deployable solutions, including AI-enabled concepts using AWS Polly, Bedrock, and OpenAI, while grounding decisions in compliance, data integrity, and stakeholder adoption.”

Roger Woody

Screened

Executive Operations & Transformation Leader in Federal and Defense organizations

36y exp

“Operations and Chief of Staff leader with experience at NRO, DHS/TSA, and NOAA, translating complex, regulated enterprise environments into startup-like scalable operating systems. Implemented Salesforce/PeopleSoft/Cognos-driven process optimization, governance, and keystroke-level SOPs, delivering measurable improvements (20% performance gains; 15% error reduction) while driving adoption through hands-on change management and executive alignment.”

Ryan Peterson

Screened

Senior Full-Stack Engineer specializing in Python web and AI applications

New York, USA8y exp

“Backend-heavy full-stack engineer with startup fintech experience who built a real-time lending eligibility service that cut decision time from 12-24 hours to under 5 seconds and lifted conversion by ~15%. Also has B2B SaaS experience automating construction workflows, with strong hands-on work across React/TypeScript, Python/FastAPI, Node.js, Kafka, Redis, and some Go.”

“Engineering leader (player-coach) recently at Autodesk driving a major sales-motion transformation spanning account hierarchy, commissions/quotas, and downstream financial/sales forecasting impacts. Led cross-functional design with enterprise architects and shipped the end-to-end release, using POCs and Anaplan what-if modeling to validate a risky hierarchy change while coordinating delivery across India/Singapore teams and instituting structured Jira-based tech debt/support tracking and automation (dbt, GitHub Copilot).”

“ML/AI engineer with hands-on ownership of both classical ML and GenAI systems in production. They built an end-to-end churn prediction service on AWS and also shipped RAG-based document search/summarization features, with clear experience in monitoring, hallucination reduction, cost/latency optimization, and creating shared Python/LLM infrastructure used across teams.”