Nicholas Fury Batson

Fanout (cross-team distributed work coordination platform)

Executive Influence & Strategic Leadership

• Enabled GitHub to shift from quarterly to monthly planning and review cycles, giving leadership the ability to reprioritize the company's highest-priority engineering work in response to emerging signals rather than waiting full quarters
• Referenced in GitHub's priority guidance for 6+ consecutive quarters as the company's primary mechanism for distributed engineering execution
• Operating practices established under Fanout became standard in how GitHub coordinates cross-team work today

Execution at Scale

• Architecture scaled from 150 to 3,000+ accurately tracked issues across 500+ repositories, with 7,600+ issues created through custom Go CLI tooling I built and operated
• Reduced coordination overhead by 96% (120 person-hours/week to 4). Elevated cross-team update compliance from 30% to 95%
• Reduced time to distribute all quarterly prioritized work across GitHub from 2 weeks to 3 hours

Technical & Systems Architecture

• Built a custom Go CLI integrated with the Service Catalog API that automated issue distribution across 500+ repositories. Tool evolved from user-authenticated bot to GitHub App to self-serve CI/CD pipeline
• Architecture directly influenced GitHub's product investment in sub-issues, structured issue types, and Projects automation

People & Organizational Leadership

• Designed for transition from the start. Transitioned to a new team that operated it near-autonomously for 18+ months. Authored the company-wide retrospective at formal sunset
• Accelerated a TPM III to independent program ownership through Fanout-context mentorship. Enabled a teammate to refactor Fanout into self-service. Onboarded multiple team members on program operations. Paired with colleagues on first internal publishing contributions
• Enabled Fanout to operate without single points of failure through self-serve documentation, video walkthroughs, and structured knowledge transfer

GitHub Fundamentals (governance program for Security, Availability, and Accessibility compliance across thousands of production services)

Executive Influence & Strategic Leadership

• Gave leadership reliable, MBR-cadence visibility into compliance posture across the entire engineering organization for the first time
• Identified and resolved a systemic governance failure where approval cycles exceeded the deadlines they were meant to enforce. Drove architectural redesign of the escalation model with tiered review paths and CTO escalation
• Shaped program scope direction through a structured counterproposal to a VP team that preserved decentralized execution. Acknowledged as instrumental to the final decision
• Exception process I designed gives teams a structured way to surface honest capacity signal to leadership instead of hiding inability to comply, transforming planning data from optimistic to actionable

Execution at Scale

• Consolidated governance across ~2,800 production services into a single system at 97% data accuracy (from 43%)
• Reduced exception requests requiring manual review by 92% and exception handling from 13+ hours/month to under 1 hour

Technical & Systems Architecture

• Designed the governance lifecycle: EM to VP approval chain with CTO escalation, renewal counters, automated approval detection, and single-system consolidation
• Built executive reporting infrastructure connecting data warehouse queries to leadership review materials. Discovered exception data was entirely absent from executive dashboards and drove gap closure
• Exception governance model adopted as the foundation for the company's compliance platform

Monorepo Scale (company-wide rearchitecture workstream for platform performance, reliability, and enterprise customer trust at repository scale)

Executive Influence & Strategic Leadership

• Leads a company-wide workstream coordinating engineering teams across Git, Pull Requests, CI, web and API performance, push processing, security, Copilot, revenue, and customer reliability engineering
• Gave VP-level engineering and product leadership weekly visibility into enterprise customer trust posture they didn't have before
• Work recognized at CEO level during a company-wide town hall

Execution at Scale

• Coordinating rearchitecture of GitHub systems whose product assumptions and original designs weren't built for the order-of-magnitude increases monorepos now demand. Includes capability development that makes GitHub viable for the very largest repositories in the world, including Microsoft's internal monorepos (Windows, Office)
• Stood up the workstream's operating model, customer relationship assessment, DRI coordination, and executive reporting from scratch in 2 weeks

Technical & Systems Architecture

• Workstream spans Git storage and merge commit generation, PR lifecycle, CI scale, web and API performance, and platform limits, areas that previously evolved independently
• Coordinated cross-team execution where success requires contributions from teams across the stack rather than fixes isolated to any single subsystem

Evidence Pipeline (composable AI framework for evidence-grounded research-to-writing workflows, two layers: specification and programmatic)

AI & Automation

• Built an installable specification framework (published in GitHub's official agent-skills catalog) and a programmatic TypeScript framework with a deterministic state machine that enforces the pipeline at runtime
• Designed for recurring research-to-writing tasks where accuracy matters more than speed: separates evidence collection from interpretation, inserts verification gates between phases, and treats AI output as untrusted input at every step
• TypeScript framework ships as four npm packages: core state machine, composable guardrails, an MCP server exposing 22 tools, and a scaffold CLI that bootstraps new workspaces from validated presets
• Made AI usable for high-stakes operational work across GitHub, establishing a verification discipline that scales beyond any single user

Execution at Scale

• Within 2 days of publishing, 3 independent teams adopted the framework across distinct domains (workstream reporting, retrospective analysis, peer feedback cycles), self-serving from the documentation with no assistance
• 2 of those teams discovered use cases not explicitly designed for, validating that the architecture generalizes beyond the provided examples
• Active pilots planned across Fundamentals, Reflections, Monorepo Scale, and a greenfield weekly-reflection preset

Technical & Systems Architecture

• Specification framework: 7 building blocks, 9 operational guardrails, 13 composable patterns, 4 production-validated compositions with documented interfaces
• Programmatic framework enforces gate-before-analysis and themes-before-config as runtime constraints, making the reasoning sequence impossible to skip rather than relying on agent interpretation
• Self-correcting framework: maintains a CORRECTIONS.md applying the framework's own evidence-based principles to itself, documenting where assumptions proved wrong through real adopter usage

People & Organizational Leadership

• Delivering Day of Learning curriculum on the architecture, with adoption across GitHub through workshops and enablement sessions

• Led engineering operations and delivery execution for a $150M federal defense program (NCCT) with full compliance and zero delivery slippage
• Leading contributor to the DevSecOps software factory now adopted across all branches of the U.S. military as Platform One
• Reduced program costs by ~$27M (18%) through vendor acquisition decisions and architectural changes, including a data guard solution that improved performance, delivery, and self-serve ownership
• Improved processing throughput by 42% through strategic technology acquisition and architecture optimization, moving from monolithic to service-based architecture
• Achieved continuous ATO through secure CI/CD pipeline architecture, eliminating 6-month authorization cycles
• Secured $30M in additional program funding through technical presentations to federal stakeholders

• Progressive tenure: Software Engineer (2016–2018) → Scrum Master (2018–2019) → Product Manager (2019)
• As Product Manager, managed a cross-seniority team of 24 software and systems engineers, junior through Engineering Fellow, with hiring responsibility for the team
• As Software Engineer, reduced product response time by 60% across UI loading, data loading, search, and data synchronization through architecture optimization
• As Scrum Master, improved velocity by 32% for a team of 13 engineers. Achieved 98% on-time delivery across 6 major releases in one year

• Managed regional LAN/WAN operations across the south central United States (Texas, Oklahoma, Arkansas, Louisiana, Kansas). Maintained 99.98% network uptime
• Reduced security incidents by 87% over 12 months through networking configuration upgrades and hardware modernization