Vetted Team Leadership Professionals

“Entrepreneurial operator with 30+ years of experience building internal startup-style business cases inside private companies, securing capital/OpEx funding, and turning proposals into delivered technology initiatives. Brings a strong venture-informed mindset, including familiarity with Series A/B/C funding dynamics, combined with hands-on strength in business planning, financial modeling, team building, and execution.”

“Performance marketer from Unilever with hands-on ownership of a sizable multi-platform paid media portfolio across Google, Meta, TikTok, and YouTube. Stands out for combining rigorous experimentation, LTV-based audience segmentation, and incrementality testing to improve ROAS, lower CPA, and restore growth when campaigns plateau.”

“Product leader with experience rebuilding large-scale search and AI-enabled workflow products at Amadeus and SignalWire. Stands out for combining AI strategy, UX simplification, and organizational alignment—driving measurable outcomes like 45% adoption growth, 42% revenue increase, and mentoring teams to stronger cross-functional execution.”

“Wi-Fi firmware engineer building a Linux host-based AI diagnostic agent that ingests TLV telemetry from firmware modules (scan/datapath/security/roam/low power) to detect anomalies and automatically push mitigations. Delivered measurable production impact (27% reduction in field issues) and improved performance by replacing netlink with shared memory (+30% kernel-layer improvement), while also driving customer-facing demos and instituting release-gating controls after a factory-line crash incident.”

“GenAI/ML engineering leader (player-coach) who built and deployed an image-to-text production system for topology/resource diagrams, combining YOLO-based issue detection with an LLM to generate support-ready reports at scale. Heavy AWS stack (SageMaker, Step Functions, Lambda, CloudWatch, FastAPI, Kubernetes/Docker) with KPI-driven optimization (MTTR, P50), including ~21 custom labels and reported 30–50% faster issue identification while processing thousands of images in production.”