$18M
Designed and launched an automated competitive take-out campaign with sales partners for Q1 FY24 pipeline creation.
Evidence and systems work
The headline proof is the GTM AI program I built from zero at Confluent: operating model, governance, builders, production path, and measurement. Supporting outcomes and representative builds stay labeled so evidence remains honest.
Documented outcomes from the public resume, with representative builds labeled separately below.
Designed and launched an automated competitive take-out campaign with sales partners for Q1 FY24 pipeline creation.
Consolidated tooling and renegotiated contracts in partnership with Procurement and InfoSec while preserving operational coverage.
Introduced a self-service access portal and workflow automation to reduce repetitive manual request handling.
Combined role-based enablement and self-serve Power BI reporting to improve rep execution and frontline visibility.
Overhauled GTM tooling operations and process standards, contributing to higher opportunity quality and better conversion flow.
Standardized intake workflows and automated web form routing to reduce response delay and improve SAL conversion.
Source boundary: these figures come from the public downloadable resume. Review the source context
Operator case notes
Short, permission-safe narratives using only outcomes documented in the public resume.
Resume-backed · Program owner, team builder, and systems architect
Read full caseResume-backed · Senior Manager, GTM Technology
Resume-backed · Senior Manager, GTM Technology
Read full caseResume-backed · Senior Manager, GTM Technology
Documented enterprise work
These compact case studies use facts published in the approved resume. They explain the operating approach without exposing internal configurations, proprietary data, or employer-confidential detail.
A global conversation-intelligence transition paired with a reusable BigQuery foundation for analytics and downstream automation.
A governed applied AI program that turned a growing production estate into a measurable operating system for GTM teams.
A portfolio-level program that combined vendor evaluation, global rollout, platform retirement, contract negotiation, and reinvestment in AI capacity.
Program architecture
The operating model I use for AI-enabled operations keeps experimentation open while giving team-wide work a clear path for ownership, risk, adoption, and measurement.
Open the operating templatesDefine the problem and owner.
Check value, data, and risk.
Choose the work worth capacity.
Ship the smallest complete system.
Document ownership and enablement.
Track adoption, quality, and outcome.
Improve what works; retire what does not.
Forecasting risk, account context, data intelligence, internal operations, and enablement.
Approved sources → permission-aware context → structured signal → human review → system of record.
Reusable skills, role-based cohorts, feedback loops, and explicit escalation paths for scaled work.
Start from a decision or recurring task.
Assemble approved, permission-aware inputs.
Return a structured recommendation or draft.
Review exceptions and authorize the next action.
Write the decision and measure the outcome.
Reduce repetitive work verify quality retool the time measure higher-leverage ownership.
Selected public work
Each project carries an evidence label so live products, prototypes, illustrative builds, and private concepts do not read like the same kind of proof.
Evidence labels: documented professional outcome · live independent product · illustrative build · public prototype · private concept · sandbox experiment.
Design explorations
Visual review boards show how I turn critique into specific interface, content, and accessibility changes.

A/B visual review
Surfaces, controls, and interaction polish

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Semantic palette and contrast

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Grouping, alignment, and responsive structure

A/B visual review
UX copy and decision clarity

A/B visual review
Cross-discipline interface review

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Type scale, wrapping, and spacing

A/B visual review
Focus, keyboard, ARIA, and mobile

A/B visual review
Motion, surfaces, icons, and UI finish

A/B visual review
Proof order, governance spine, and capacity reallocation
Live independent product
Independent help for Austin residents to save money, solve city problems, and act on public data.
Showing 2 projects.
Automated inbound issue capture and triage flow from Slack into structured Jira tickets.
A dashboard designed to surface forecast risk and pipeline confidence by segment.
Hackathon prototypes
Focused experiments shipped on a compressed clock, with public claims kept inside the evidence each build can support.
Built and shipped in one night: an evidence engine that checks startup rumors against official signals and explains each result.
A private hackathon prototype for safer cross-agent learning: reuse guidance only when evidence supports it.
Sandbox experiments
Useful for showing product judgment and build speed; these experiments are not enterprise performance claims.
A simple app for monthly spend visibility and category-level trend analysis.