Vetted ChatGPT Professionals

Christina Flores

Screened ReferencesStrong rec.

Director-level Executive Operations & Administrative Leader in government, nonprofit, and private office settings

New York, NY14y exp

“Executive operations/project leader who managed cross-entity priority initiatives for Eric Schmidt’s family office, driving alignment through structured reporting and dashboards. Led a board-level digital transformation at ACC, moving a 14-member Board of Trustees from paper processes to board software, and brings high-discretion experience supporting Senator Warner.”

“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”

“AI-focused product engineer working on LLM routing, prompt engineering, and multimodal API integrations at production scale. They describe improving system accuracy, latency, and token usage, fine-tuning an internal model to reduce third-party API dependence, and adding safety guardrails through prompt-injection testing and red-team evaluation.”

“Recruiting leader with experience managing a 5-person, non-US sourcing team and building their US hiring compliance knowledge (EEOC/visas/laws) through ongoing training. Has executed hands-on executive searches (Sr Director/VP), including filling a VP Revenue Operations role in ~2 months via tight CRO partnership, and led an ATS transformation by implementing Greenhouse with company-wide training.”

Rob Wlaschin

Screened ReferencesStrong rec.

Director-level Engineering Manager specializing in AI platforms, FinTech, and Healthtech

Santa Clara, CA24y exp

“Serial entrepreneur building three distinct products: a context-aware AI chatbot, a connected TV companion-screen platform with an implementation client, and gamerogue.net, a mobile-optimized web-based virtual tabletop marketplace currently seeking funding. Brings hands-on fundraising experience, familiarity with the VC/accelerator ecosystem including YC, and a notably pragmatic approach to validating ideas based on existing market demand rather than speculative adoption.”

Alexander Meyer

Screened ReferencesStrong rec.

Senior/Lead Game Developer specializing in Unity and cross-platform multiplayer games

Paphos, Cyprus28y exp

“Veteran Unity game developer with extensive multiplayer networking experience (Photon PUN2/Quantum/Fusion, Unity Netcode), including work on Payday: Crime War and an in-development arena battler using Invector + PUN2. Also builds cloud backends for Unity titles (Azure/PlayFab/Firebase, SQL, CI/CD) and actively uses multiple AI assistants to speed up architecture and implementation.”

Joshua Smith

Screened ReferencesStrong rec.

Executive engineering leader specializing in AI automation and enterprise transformation

Banks, OR23y exp

“Technology leader with deep accelerator and zero-to-one product experience across the Department of Defense, Fortune 100 enterprises, academia, and GovTech. Most notably, they built a seven-tier solution that generated over $10M in first-year savings and was adopted by 300+ DoD organizations, positioning them as a strong CTO-type operator for mission-driven startups and complex enterprises.”

“LLM/ML engineer who has shipped an enterprise RAG-based Q&A system (LangChain/LlamaIndex, FAISS + Azure Cognitive Search, GPT-3.5/4 via OpenAI/Azure OpenAI) to production on Docker + Kubernetes/OpenShift, tackling hallucinations, retrieval quality, latency/cost, and RBAC/IAM security. Also partnered with operations leaders to turn manual reporting into an LLM-powered summarization and forecasting dashboard driven by real KPIs and iterative stakeholder feedback.”

“Currently at Huntington Bank, built a production-grade RAG system that helps business/operations teams get grounded answers from large volumes of internal enterprise documents. Owns ingestion and FastAPI backend, tuned hybrid BM25+vector retrieval and chunking for relevance, and evaluates reliability with metrics and observability (LangSmith, CloudWatch, Prometheus/Grafana) while partnering closely with non-technical stakeholders.”

“Grad student who co-developed a safety-oriented mental health LLM consulting agent using RAG + Gemini and Hugging Face emotion detection to assess user crisis level and adapt responses. Implemented a key reliability improvement for CRISIS scenarios by bypassing generative output and returning direct, emotionless, knowledge-base guidance to seek immediate real-world help.”

Sangita Satapathy

Screened

Senior Full-Stack Engineer specializing in FinTech and AI applications

Las Vegas, NV11y exp

“Engineer with a pragmatic, production-focused approach to AI development, using tools like Copilot and ChatGPT to accelerate coding while maintaining strong engineering fundamentals. Has led a RAG-based multi-stage AI solution spanning retrieval, context building, and response generation, with an emphasis on validation, prompt quality, and reliability.”