Vetted PostgreSQL Professionals

Andrew Sheehan

Screened

Executive engineering leader specializing in enterprise architecture and digital transformation

27y exp

“Candidate has spent years working with startups across various industries and has been involved in multiple stages of company building, including hiring, technology choices, and budgeting. They appear especially oriented toward operational discipline, cost control, and evaluating ideas through structured cost, time, and value analysis.”

“GenAI/RAG engineer who has deployed a production policy/regulatory search assistant for a financial client using LangChain + Vertex AI, FastAPI, Docker/Kubernetes, and Airflow-orchestrated data pipelines. Demonstrated measurable impact with 50–60% latency reduction and 70% fewer pipeline failures, plus KPI-driven grounding evaluation (90%+ target) and strong cross-functional collaboration with compliance/business teams.”

“Built and owned an end-to-end RAG-based AI support platform at Mechanize (FastAPI/LangChain/Pinecone/React) with rigorous evals and guardrails, driving 45% fewer support tickets and ~$280K annual savings. Also led a high-risk legacy modernization at Argo AI, incrementally extracting a monolithic Django backend using Strangler Fig + feature flags while supporting 10K+ concurrent users.”

Sean O'Dea

Screened

Executive CTO and software architect specializing in scalable SaaS and cybersecurity

Las Vegas, NV19y exp

“Repeat founder and operator who has built multiple startups, including a social platform, and chose to bootstrap after learning firsthand that investor demand was centered on distribution rather than technology. Brings a candid operator-side understanding of VC, term sheets, and fundraising dynamics, plus experience shipping against real scale at Parlement.”

“Software engineer/QA automation leader with Lowe’s experience owning automation quality strategy for a customer-facing platform supporting large contractor orders. Built TypeScript/React dashboards backed by Spring Boot microservices (MongoDB) and RabbitMQ async messaging, with strong CI/CD test automation and production monitoring (Prometheus/Grafana). Also created an internal automated test reporting dashboard that improved QA workflow through training-led adoption and iterative refinement.”

“Backend engineer with banking-domain experience building production microservices and Kafka-based transaction processing systems. While they have not yet shipped a full LLM agent, they bring relevant distributed-systems expertise in reliability, observability, idempotency, and event-driven workflow design, including a reported 15-20% performance improvement.”