HelloI'm Andy

About

1. Lead Product Designer · Invert

   Apr 2025 — Aug 2026

   Sole product designer at a YC backed Series A building bioprocess data management and analytics software. Owned design end to end, from problem framing through shipped UI.

   What that looked like day to day:

   • Designed the product's most data-dense surfaces: the Run and Experiment summary dashboards, and Projects, a new top-level object that pulls data and reports from across the platform into one view for tracking bioprocess KPIs.
   • Shipped the AI assistant as a primary working surface rather than a bolted-on chat panel. Daily queries more than quadrupled after launch.
   • Built the AI use case framework the team designed against, covering immersive, assistive and embedded patterns, and set the standards for labeling AI-generated content.
   • Prototyped large initiatives in working code instead of static mockups, then ran them in customer demos to validate direction before committing engineering time. Those branches carried into the production frontend.
   • Identified product gaps via Mixpanel and interviews with scientists running bioprocess workflows, then designed, built and shipped the fixes solo, typically within a week.
   • Owned the design system and UX writing standards, then encoded them as the rules and skills the team's AI tools coded against, so generated code matched the system without cleanup.

2. Manager, Product Design · Developer Experiences · GitLab

   2023 — 2025

   Led the Developer Experience design team, overseeing code review, source control, and developer collaboration tools.

   • Led and developed a team of product designers, providing structured career development, coaching, and feedback to foster critical thinking, leadership, and strategic problem-solving.
   • Defined long-term design direction for GitLab's developer tools, aligning design with product and engineering roadmaps to improve efficiency, usability, and reliability.
   • Integrated JTBD & ODI methodologies into team workflows so roadmap decisions were rooted in real developer needs, improving adoption of underserved outcomes.
   • Introduced task completion, usability friction, and flow efficiency metrics — going beyond CSAT and SUS to measure developer productivity and design impact.
   • Led design critiques, cross-functional UX reviews, and process improvements, ensuring research-driven insights shaped design decisions.

3. Staff Product Designer · Security & Compliance · GitLab

   2021 — 2023

   Led the design and implementation of GitLab's Application Security capabilities within the world's first end-to-end DevSecOps platform.

   • Designed security experiences that balanced usability and risk mitigation, helping enterprise teams secure their software supply chain without slowing development.
   • Partnered with security engineers, product managers, and compliance leaders to embed security into CI/CD pipelines, cloud-native environments, and automation workflows.
   • Developed UX frameworks for vulnerability management, compliance enforcement, and security policy automation, enabling scalable security solutions for large development teams.

4. Sr. Product Designer · Security & Compliance · GitLab

   2018 — 2021

   Designed enterprise-grade security experiences for threat detection, risk assessment, and proactive security enforcement.

   • Created intuitive workflows that balanced security enforcement with developer velocity, reducing friction in security scanning and compliance automation.
   • Led UX strategy for vulnerability management, risk mitigation, and secure code review, embedding security best practices without disrupting developer productivity.
   • Developed security automation and compliance tools, making it easier for teams to scale security operations efficiently.

5. Sr. Product Designer · Innovation & New Ventures · American Greetings

   2017 — 2018

   Drove the design and development of innovative digital products using Lean Startup methodologies.

   • Designed and prototyped new digital products, creating wireframes and interactive prototypes for rapid iteration and testing.
   • Led market and competitor research, identifying consumer needs and industry trends to inform product strategy and innovation.
   • Collaborated with engineering, marketing, and business stakeholders to launch and scale new digital ventures.

1. 

   01Lead Designer · 1 PM, 2 EMs, 1 Staff Engineer

   0-1 Creating the first DevSecOps platform

   Designed GitLab’s first comprehensive security object, unlocking enterprise adoption & revenue.

   • $20M in net ARR over two years

   Read case study→
2. 

   02Lead Designer · 1 Staff Engineer

   Unifying Automation at GitLab: A Decentralized Rule Engine

   Automation at GitLab was quietly fractured — 23 entry points and 16 functions carrying conditional logic, each built in silos with no shared framework. I led the design of a decentralized rule engine to unify them.

   • 37% increase in automation run rate
   • 28% fewer errors than legacy automation

   Read case study→
3. 

   03Lead Designer · 2 PMs, 1 EM, 1 Mid-level Designer

   Policy-Driven Code Reviews

   Security findings in GitLab merge requests were flooding developers with hundreds of severity-ranked results. I shifted the model from severity to policy violations, cutting findings per MR by up to 60%.

   • 35% decrease in time spent reviewing security findings

   Read case study→

1. 012025 — Present

   AVR — College Football Ratings

   A college football rating and prediction model. It rates all 138 FBS teams from returning production, roster talent, and prior-season finish, then predicts every game with calibrated win probabilities and margin intervals. Every published prediction is graded against the result and the scorecard is public.

   76.7%

   straight-up, 680 of 887 games graded in 2025

   11.99

   margin MAE across the core slate

   0.736

   correlation, predicted vs actual margin

   0.153

   Brier score on win probability

   

   • Power and resume ratings, game predictions, season projections, and player grades, updated weekly through the season.
   • Prediction intervals land within a point of their targets — 80.6%, 89.9%, and 95.3% observed coverage against 80/90/95.
   • Publishes its own known limitations alongside the results, on the grounds that a scorecard listing only what went well is advertising.
   • Five seasons rated, back to 2022.

   Visit→