Vetted Workflow Automation Professionals

“Customer Success Lead in healthcare AI (diabetic retinopathy screening) who owns enterprise accounts end-to-end and drives measurable adoption/retention outcomes. Experienced navigating complex stakeholder dynamics during a health system acquisition, using Tableau/Salesforce analytics and ROI storytelling to expand from pilot to full deployment, and leading cross-functional delivery of EMR-integrated SSO to unblock clinical workflow adoption.”

Tina Bai

Screened

Executive operator-founder specializing in GTM, revenue strategy, and AI-native commercial operations

New York, NY10y exp

“Operator with Deloitte consulting experience supporting PE/VC-backed portfolio companies and current experience inside a VC-funded Series C scale-up. Building a bootstrapped D2C women’s telehealth brand (Petty Pills) with two initial SKUs, deployed tech stack, and white-labeled clinical/compliance infrastructure, leveraging AI tooling to keep operations lean while focusing on full-time operator roles.”

Chinedu Enwere

Screened

Mid Software Engineer specializing in distributed backend systems

Redmond, WA4y exp

“Engineering candidate deeply embedded in AI-native development, currently using tools like Cursor and Claude Code to generate most of their code and building internal agents for on-call monitoring, anomaly detection, and automated incident mitigation. Particularly interesting for teams exploring AI-first engineering workflows, multi-agent development setups, and operational automation at scale.”

“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”

“Operations/finance transformation leader with experience in large healthcare organizations (e.g., PacifiCare and KP), brought in to stabilize and modernize operating cadence during high-change periods. Known for applying lean/agile methods (value-stream mapping, 2-week sprints, kanban, RACI) to build KPI single-sources-of-truth and scalable analytics operating models, delivering 40%+ cycle-time/rework reductions and improved forecasting/decision velocity.”

James Conroy

Screened

Director of Private Capital Markets specializing in private secondary liquidity transactions

New York, NY11y exp

“Private-capital/ECM professional (CFA charterholder) who moved into Carta’s private capital space and built data-driven reporting and pipeline systems. Led a cross-functional effort to productize an internal tender offer seller model into a self-serve report to scale capacity and support GTM, while maintaining executive alignment and rigorous discretion with sensitive financial data.”

“CTO-minded builder seeking to join a startup; previously created an AI-driven platform that abstracted away DevOps and infrastructure for drug discovery researchers. Emphasizes high-leverage, zero-to-one execution with managed cloud/open-source tooling, and a strong reliability/reproducibility mindset validated against existing scientific pipelines.”

“ML/LLM engineer who built a production RAG system (GPT-4 + FAISS + FastAPI) to deliver fast, grounded answers from proprietary documents, optimizing for sub-200ms latency and high-concurrency scale. Strong MLOps/observability background: drift monitoring with Prometheus + Streamlit, automated retraining via Airflow, Kubernetes autoscaling, and MLflow-managed model lifecycle, plus inference cost reduction through quantization and structured pruning.”

“Talent/Recruiting Operations leader with large-scale, multi-region experience at Amazon and Home Depot, specializing in standardizing hiring workflows across 30+ sites. Known for building robust SOP/SLA frameworks and Power BI analytics (40+ dashboards) that drove a 30% time-to-fill reduction and cut agency reliance by 25%, plus leading enterprise ATS/tool integrations with cross-functional partners (IT, Security, Legal, Finance).”