Zürich · Switzerland · Available 2026
Board Director & Tech Advisor · Chief AI Officer · Head of AI Enablement & CoE · Fractional / Interim CTO
Fifteen years across Amazon Lab126, Swiss finance and venture-backed startups. Today: independent board director and tech advisor to founders and boards on AI, CTO & Partner at thirty3, and co-initiator of AI Hub Switzerland. Still hands-on in code, architecture and delivery, not just the boardroom.
Selected institutions & clients
§ 01 · Profile
Fifteen years building, leading and advising on AI.
Built voice AI for Alexa at Amazon Lab126. Took cloud and big data into Switzerland's largest banks: UBS, Credit Suisse and Julius Baer. Founded and exited Anamii, an AI-powered wellness platform. Today, Co-founder, CTO & Partner at thirty3, leading AI strategy and delivery for clients from venture-backed startups and scale-ups to unicorns, SMEs and global corporates.
Three companies founded. 100+ people led across engineering, design and AI teams in Switzerland, India, Poland and the US, from Amazon and Anamii to Vicara and thirty3. 55+ AI products shipped across 10+ industries. A U.S. citizen of Indian heritage based in Zürich, with a UCLA MSc in data science and machine learning, and a multicultural lens on how AI teams actually get built. From Alexa-scale customer-serving systems at Amazon Lab126 to Swiss-bank cloud transformations, fifteen years designing, reviewing and rebuilding production platforms that have to work under real load.
§ 02 · Practice
01
Chief AI Officer (CAIO), Head of AI Enablement & Centre of Excellence, or Fractional / Interim CTO for scale-ups, SMEs and corporates that need senior AI authority without a full-time hire. Setting strategy, building the CoE, hiring, architecture and delivery cadence. Hands-on where it counts: architecture reviews, platform reviews of complex production systems, prototyping and unblocking the team, not just slides.
02
Independent assessments for M&A, fundraising and foundation grants, plus standalone system architecture and platform reviews of complex production systems: recommendations and modernisation plans for where they'll break at scale, what to refactor and what to rebuild. Recent work: SwissFoundations, Seedling Foundation, Malaica and early-stage AI startups.
03
AI Opportunity Sprints, roadmaps and end-to-end production builds via thirty3, with me in the architecture and code alongside the team. When the existing platform can't carry what's next, we also take on full modern rebuilds of complex, scalable production systems. 55+ AI products shipped, ~32 days average to pilot.
04
Independent board director, advisory board member, technical advisor, plus keynotes, panels and moderation across Swiss and international stages.
§ 03 · Now
Since 2022 · Operating role
A global AI innovation studio that co-creates with teams to turn ambition into outcomes. With the thirty3 team we've shipped 55+ AI solutions in production across 10+ industries, for clients ranging from venture-backed startups and scale-ups to unicorns, SMEs and global corporates, including regulatory copilots, demand forecasting, knowledge agents, virtual try-on, customer intelligence and beyond. Alongside AI product delivery, we also take on system architecture reviews and modern rebuilds of complex, scalable production platforms.
See live solutionsSince 2026 · Co-initiator
A nation-wide, non-commercial initiative to close the AI adoption gap and future-proof Swiss SMEs. We bring together business, academia and the public sector to provide trusted expertise, neutral coordination and long-term capability building, strengthening competitiveness, workforce readiness and digital sovereignty.
Visit aihubswitzerland.ch§ 04 · Point of view
The shifts I'm watching, and what they mean for leaders deciding how AI changes what they build, sell and operate.
P/01
AI is shifting value from selling software to delivering completed outcomes. The durable layer is workflow ownership, delivery design and outcome-based pricing, not model access. The product is the outcome.
P/02
As model and token costs collapse, thin wrappers die. What survives is deep integration into a real workflow: the operational logic, the data plane, the messy edges only operators understand.
P/03
Enterprises are moving from human-speed systems to agent-speed workloads. Existing APIs, orchestration and infra weren't built for recursive, high-concurrency AI activity. Treating AI as a UI layer underestimates the rebuild required underneath.
P/04
AI doesn't just automate tasks; it lets expertise be packaged, scaled and sold like software. The winning operating models redesign the human-plus-machine split deliberately, not as an afterthought.
§ 05 · Stage
Keynotes and moderation on AI strategy, responsible AI, and emerging tech across industries. Two-year Swisspreneur podcast host. Co-lead of Wine'n'Ventures.