United Kingdom
I've spent a decade building products and scaling teams. But what I'm actually obsessed with is leverage. How small teams ship things that used to require 50 people. AI tooling is the biggest unlock I've seen so far. I'm deep in agentic systems, AI-assisted development, and figuring out where the real productivity gains are (vs the hype). Building things on the side to test my assumptions. Background: mathematics, security research (vulnerability disclosures awarded by GitHub), and years of shipping across fintech and high-growth environments. I think that mix of math intuition, security paranoia, and shipping muscle is underrated for building AI products that actually work. If you're building in AI tooling, developer productivity, or agentic systems, I'd like to hear what you're working on!
- Unblocked org-wide AI tool adoption by pioneering approval framework addressing legal/payment/usage uncertainty. Achieved 50-70% adoption rate across 15+ teams through training and documentation.
- Conducted 200+ customer interviews to validate product-market fit. Developed initial frontend solo, then scaled team to 3 people as PM. Delivered financing platform securing 2,000+ loans totaling $11M ($177k fees) and led banking integration for POS data monetisation (~$265k revenue).
- Designed, built, and launched full-stack web platform to help English tutors organise resources and manage schedules. Achieved 500+ registrations with ~30 active users through organic growth and targeted Google Ads campaigns. - Conducted 20+ user interviews to refine product-market fit and drive iterative UX improvements. Gained hands-on entrepreneurial experience in growth marketing, customer research, community building, and lean product development.
- Spearheaded Storybook adoption with 20-30 documented components, enabling designers to preview real component behaviour before creating mockups. Compressed feedback loops from 2-5 days to less than 1 day, improving feature delivery speed by 20-40% and eliminating design-dev misalignment issues.
- Pioneered organisation's first AI tool by building legal compliance assistant with Chrome extension + web app. Designed test framework enabling non-technical legal team to manage and update validation cases. Scanned 200+ public pages identifying 100+ compliance issues, saved ~100 hours annually on compliance reviews, achieved 90% coverage with ~20 active users. - Diagnosed security risks in monolithic Next.js architecture; prototyped MVP in a few days when leadership deemed full migration "too large." Led split into static renderer + API layer, preventing vulnerabilities and saving ~$40k in bug bounty payouts. - Architected Prometheus + Grafana monitoring infrastructure for 6 apps. Delivered dashboards and reusable templates adopted by 80% of engineers (~120 people), reducing MTTR from hours to minutes through 180+ metrics enabling faster response to 15+ production incidents. - Engineered npm publishing infrastructure for 117+ packages, reducing publish time from days to hours through centralised automation and token management. Developed shared component library across 6 Next.js apps, pattern recognised by team leads as "great improvement" and adopted as org standard.
- Conducted internal technical assessments on high-traffic applications including Yandex Music (20M+ monthly active users), Search, and Rent. Discovered and reported stored XSS and unsafe code exposure vulnerabilities; collaborated with engineering teams to implement patches.
- Redesigned 2FA onboarding through 10+ user interviews and 40+ feedback pieces, elevating developer satisfaction from 2-3/5 to 5/5 and eliminating 2-6h/week support bottleneck. Documented OpsGenie procedures and trained all senior+ contributors on on-call processes. - Established Incident Response Policy acknowledged by industry security experts. Responded to 15+ incidents including high-profile supply chain attacks (MailerLite, Ledger malware, Intercom breach, npm worm). Implemented fallback provider systems reducing "major outages" to "minor notifications."
- Pioneered automated testing infrastructure for web development (10+ developers) and QA teams (5+ people), catching 60-80% of bugs during PR phase and drastically reducing QA bottleneck. Practice became company-wide standard workflow adopted across all web development. - Championed Loom integration across 3 platform teams (Android, iOS, Web), reducing PR-to-designer cycles from 1-2 days to 1-4 hours by eliminating synchronous review meetings. Recognised by CTO and design leadership as key productivity improvement; approach scaled across all product development. - Partnered with design lead to develop 8 reusable cross-platform policies for errors, forms, and loaders across 4 departments. Negotiated implementation with iOS/Android/web platform leads; approach endorsed by CTO, improving UX consistency and reducing development time.