Adrian RaudaschlAdrian Raudaschl

Professional Experience

Adrian Raudaschl

Dr. Adrian Raudaschl

Medical doctor turned Principal Product Manager with a decade of experience launching AI-powered solutions in research and healthcare domains.

London, UK

I believe in defining "what good looks like" before taking action. My approach combines the TARS framework, Amazon's "working backwards" method, and fictional press releases that clarify customer impact. I excel at uniting multidisciplinary teams through collaborative frameworks that create shared understanding while allowing space for innovation and meaningful results.

Core Competencies

Product Skills

  • Product Strategy
  • TARS Framework
  • Working Backwards Methodology
  • Strategic Innovation Execution
  • OKRs/KPIs Design

Technical Expertise

  • ElasticSearch (Lexical + Semantic)
  • Python
  • Graph Database Design (Neo4j)
  • Vector Space Modeling

AI-Powered Technologies

  • Large Language Models
  • Prompt Engineering
  • Responsible AI

Healthcare & Clinical

  • Clinical Medical Practice
  • Healthcare Regulation
  • Patient Safety
  • Medical Research

Work Experience

Principal Product Manager

Elsevier
January 2020 – Present

Led search and AI initiatives across Elsevier's flagship products, driving user engagement, revenue growth and responsible AI development.

  • Spearheaded the development of Scopus AI, the first AI-powered discovery assistant for academic researchers. Launched in under five weeks, achieving an average CSAT of 4.5/5, generating significant revenue with widespread institution adoption.
  • Directed the migration to an academic vector search platform, impacting five major products and improving search relevance by 40% for over 100M users. Applied Amazon's "working backwards" approach to align teams on strategy.
  • Built the original Scopus AI prototype in 2020 using GPT-2, then led strategic initiatives to invest in NLP, vector indexes, and retrieval technologies enabling first-to-market advantage.
  • Developed and filed patents for RAG Fusion and SeqRAG, demonstrating advanced retrieval-augmented generation with open-source implementations garnering 800+ GitHub stars.

Product Manager

Mendeley
October 2017 – March 2019

Directed growth strategies focusing on user acquisition, retention, and engagement, achieving notable success metrics.

  • Increased user acquisition by 50% through optimized growth funnels and onboarding. Improved 30-day retention by 20% via personalized user flows.
  • Led development of a new cross-publisher search tool, resulting in a 3x increase in engagement and 25% uplift in user retention.

Digital Director

Medikidz
October 2013 – September 2017

Developed a digital strategy to broaden Medikidz's market reach and impact, focusing on pediatric patient education.

  • Expanded annual digital revenue substantially in three years by creating a new product portfolio. Grew user base by 200% through targeted digital marketing.
  • Managed cross-functional teams (engineering, design, marketing), maintaining alignment with medical accuracy, user safety, and strategic goals in a fast-paced startup environment.

Medical Doctor

NHS Greater Glasgow & Clyde
August 2011 – August 2013

Clinical practice across general medicine, acute assessment, surgery, obstetrics, and gynaecology.

  • Awarded Junior Doctor Representative of the Year by the Royal College of Physicians & Surgeons of Glasgow.
  • Led the development of an award-winning mobile medical education app that simulated clinical scenarios in collaboration with the University of Glasgow.

Patents & Innovations

RAG Fusion

Patent pending for a scalable approach to enhancing retrieval accuracy in AI-powered search systems, improving relevance and access to information at scale.

Read publication
GitHub: 650+ starsPatent Pending

SeqRAG

Patent pending for a high-performance agentic problem-solving framework for AI applications, enabling sequential reasoning with retrieval augmented generation.

Read publication
AI AgentsPatent Pending

Vector-Based Research Trend Analysis

In-progress system for leveraging vector embeddings to calculate research trends and predict outcomes. Identifies rising, consistent, and declining areas in academic research.

Vector AnalyticsIn Development

Education

September 2006 - July 2011

University of Glasgow

Bachelor of Medicine, Bachelor of Surgery (MBChB)
  • Bachelor of Medicine
  • Bachelor of Surgery

Professional Development

Formal Education

  • Product Management Course

    Reforge (2022)

  • Product Management Course

    General Assembly (2015)

Self-Learning

  • iOS Development

    Self-taught (2010-2013)

  • AI/ML Technologies

    Continuous learning (2018-Present)

Personal Interests

Cultural Exploration

Exploring the UK's quirky local celebrations and traditions to experience diverse perspectives.

Creative Pursuits

Cooking with AI assistants, sketching comics, and reading about fashion history.

Coding & Philosophy

Finding practical applications for philosophical ideas while continuing to code for fun.

Publications

Industry Publications

  • "Enhancing Search Relevance: User-Driven Personalized Vector Search"

    Proceedings of the 7th Annual RELX Search Summit, 2024

  • "Using ChatGPT to Evaluate Search Results"

    Proceedings of the 7th Annual RELX Search Summit, 2024

  • "An Efficient Method for Identifying Conflicts of Interest in Peer Review Using Graph Analysis"

    Proceedings of the 6th Annual RELX Search Summit, 2022

Medical Publications

  • "Development of age-dependent micronutrient centile charts and their utility in children with chronic gastrointestinal conditions at risk of deficiencies: A proof-of-concept study"

    Clinical Nutrition 41(4), March 2022

  • "Development and validation of a novel paediatric weight estimation equation in multinational cohorts of sick children"

    Resuscitation 117, April 2017

Get in Touch

Interested in collaborating or learning more about my work? Feel free to connect with me on LinkedIn or check out my projects on GitHub.

Looking for a speaker?

I'm available for speaking engagements on AI, product management, and healthcare innovation. Send me a message through LinkedIn to discuss opportunities.

Adrian's Dragon Ball Easter Egg

You found the easter egg! Adrian is a Dragon Ball fan.