AI Product Manager · Reading, UK

Turning AI research into products that ship.

10+ years designing, building and commercialising AI-enabled products across product, analytics and business transformation. Currently leading GenAI, RAG, computer vision and multi-agent initiatives at System1 Group.

Open to AI Product roles · Skilled Worker visa sponsorship
{{ s.n }}
{{ s.l }}
01 / Selected Work

AI products, shipped & in production

Built within the AI / Futures team at System1 Group — from GenAI pipelines to computer-vision R&D.

{{ w.num }} {{ w.badge }}

{{ w.title }}

{{ w.desc }}

{{ t }}
02 / Experience

A decade across product & analytics

{{ r.period }}
{{ r.org }}

{{ r.role }}

{{ r.place }}

{{ r.summary }}

03 / Research & Publications

Peer-reviewed AI research

Three peer-reviewed publications and a forthcoming Springer chapter, alongside doctoral research bridging affective computing and advertising effectiveness.

PhD
University of Surrey · In progress

Explainable Multimodal Emotion Recognition for AI-Driven Advertising Effectiveness

Research in VR and customer sentiment analysis — connecting affective computing with measurable creative effectiveness.

Interactive Simulation

Affective Computing Sandbox

Select an emotion to simulate facial muscle movements (Action Units) and creative effectiveness scoring.

Live Vector Mesh
Real-Time Tracking

Happiness & Attention Curve

0s (Ad Start) 15s (Midpoint) 30s (End Card)
Star Rating
4.8 ★ 3.2 ★ 3.5 ★ 1.2 ★
Spike Rating
1.35 1.68 1.10 0.65
Attention
High Peak Steady Flat
Joy (AU6 + AU12 activated): Triggers strong creative effectiveness, driving long-term brand equity (Star Rating) and market share growth. Indicates highly engaging, positive storytelling. Surprise (AU1 + AU2 + AU5 + AU26): Acts as a cognitive disruptor. It drives short-term sales activation (Spike Rating) and captures peak attention. Highly effective for viral brand awareness. Attention (AU4 + AU7 + AU24): Indicates focused cognitive processing. AU4 activation shows high engagement and message comprehension. Important for rational advertising creatives. Disengaged (AU0 flatline): Flat reaction curves indicate creative wear-out, weak branding, or automated respondent fraud (cleansed via Rashmi's quality assurance NLP algorithms).
{{ p.year }} {{ p.title }} {{ p.venue }} {{ p.linkLabel }}
{{ p.year }} {{ p.title }} {{ p.venue }} {{ p.linkLabel }}
04 / Education

Academic credentials

Jan 2026 — Present

PhD in AI in Management & Business

University of Surrey, UK (Part-Time)

Research focus: Explainable Multimodal Emotion Recognition for AI-Driven Advertising Effectiveness in VR and Customer Buying Analysis.

Sep 2023 — Sep 2024

Master of Business Administration (MBA)

University of Surrey, UK

Consultancy project with System1 Group (AI adoption strategy, experimentation KPIs, predictive ML/GenAI model) and NHS AI Transformation project (Royal Surrey).

2009 — 2013

BEng in Computer Science Engineering

India

Built early technical depth across software engineering, algorithms, data structures, and database systems, underpinning technical credibility with dev teams.

05 / Capabilities

Skills & certifications

{{ g.label }}
{{ it }}
Certifications
{{ c }}
Workshops & Conferences
{{ w }}
Get in touch

Let’s build something
worth measuring.

Open to AI Product Management roles in the UK. Happy to talk through GenAI, RAG, evaluation, or research collaboration.

Rashmi Bezalwar AI Product Manager · © 2026