Description

Engineer and Leader with 16+ years of experience that includes coaching and developing teams, building and architecting diverse solutions, and managing stakeholder relationships. Proven track record of product and technical delivery with consistent cadence of promotion within Agentic AI, consulting, e-commerce, higher ed, and software product domains. Looking for technical IC and Engineering Management roles within any industry and team size.

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

London (up to 50km)

Inntelo AI
Chief Technology Officer
DIGITAL AND IT
October 2024 - Today (1 year and 8 months)
London, United Kingdom
Inntelo AI is transforming hotel operations with the UK’s first AI Concierge that talks to guests via WhatsApp and phone, no apps or downloads required. Combining conversational and agentic AI, Inntelo AI streamlines workflows, boosts guest satisfaction, enables in-stay upselling, and replaces outdated tech with scalable, multilingual automation.

Lead product and technical strategy for an AI-native hospitality platform that unifies guest communication, operations, personalisation and data across WhatsApp, voice and web.

Own architecture, engineering delivery, security/compliance and core integrations across OpenAI, Vapi, Twilio/Meta, AWS, Hasura and a full-stack TypeScript platform, while remaining hands-on in building agent workflows, serverless APIs, hotel integrations, operational dashboards and guest onboarding experiences.

Led ISO27001 and SOC2 Type 2 certification.

Lead the technical side of fundraising, investor diligence, customer pitches and live demos, translating complex AI capabilities into clear commercial outcomes for hotel groups.
artificial intelligence IT Strategy Product Development Cloud architect Fullstack
END. Clothing
Head of Engineering
E-COMMERCE
June 2023 - July 2025 (2 years and 1 month)
London, United Kingdom
Led 40+ engineers to ship AI-driven personalisation, loyalty, CX automation, and AI-accelerated development, while hardening and scaling the platform and fraud stack.

- Owned Data & AI strategy for commerce, CX, and operations; stood up GenAI + ML initiatives (LLMOps + evaluation, governance, and privacy guardrails).

- AI personalisation & loyalty: shipped audience segmentation and recommendations to lift repeat purchase and AOV; built experimentation hooks for rapid iteration.

- AI for Customer Service: introduced LLM-assisted agent tooling (knowledge search, auto-drafts, macro suggestions) to cut handle time and increase first-contact resolution.

- AI for Content & Coding: rolled out generation-assisted PDP copy/imagery briefs and AI pair-programming/PR bots to compress cycle time from ideation to release.

- Payments & risk: led migration to new fraud provider → fraudulent orders down 72%; expanded APAC payments mix → +110% order rate in Asian countries.

- Platform & reliability: scaled SRE/observability and front-end re-architecture/design-system; improved Core Web Vitals and delivery velocity.
IT Strategy Strategic planning Corporate strategy artificial intelligence Fullstack
Marks & Spencer
Senior Engineering Manager (Contract)
E-COMMERCE
July 2021 - June 2023 (1 year and 11 months)
London, United Kingdom
Scaled teams and shipped AI personalisation/loyalty and intelligent pricing while modernising M&S’s commerce stack for speed, relevance, and reliability. Managed 30+ people across teams, directly managing 8 managers.

- Built three new teams (FE/BE) to deliver a modern commerce stack incl. personalisation & recommendations on MACH principles.

- Launched new platform in 9 months → site performance +60%; order rate +12%.

- Led AI/ML initiatives: stood up personalisation & recommendations ML and intelligent pricing programs; partnered with product/data for experimentation and model rollout.
- Search relevance at scale: moved to Algolia; search performance +110% and merchandising relevance +90% with better ranking/metadata pipelines.

- Reliability & quality: “alerting-as-code” cut MTTR from days to minutes; automated testing framework –52% production bugs.

- Design velocity: new design system and practices → –70% lead time for components; Core Web Vitals +65%.
- Led restructure to Domain driven teams

- Built and architected new platform, Front- and Back-end monorepos, and Apollo Federation GraphQL API layer

- Recruitment, career path coaching, mentoring, one-to-one review and 360 feedback, salary and performance reviews, OKR setting

- Supported platform teams in migration of stacks to Azure AKS and developed infrastructure as code scripts
IT Strategy Strategic planning artificial intelligence Fullstack