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Renato BoemerRB

Renato Boemer

Machine Learning | Deep Learning

€752/day
London, GB
8-15 years

Average response time: 1 hour

About Renato

Hello! I partner with organizations to transform their data into a strategic conversational interface—making siloed, complex information instantly accessible and actionable through intelligent dialogue.

As the founder and lead engineer of an AI and automation consultancy, I specialize in Conversational AI and RAG systems. I architect end-to-end pipelines that ingest disparate enterprise data, apply state-of-the-art retrieval methods, and wrap generative models around them to create “knowledge bases you can talk to.” The result: quicker access to actionable insights, streamlined information access, and immediate ROI.

My background blends academic grounding and practical execution. I hold a Neuroscience degree from the University of Cambridge and have taught Deep Learning at Le Wagon bootcamps, mentoring over 200 engineers in London, Madrid, and Tokyo. I also publish hands-on AI tutorials—viewed over 50,000 times—that are designed to make complex AI topics accessible.

What I help clients do:
• Consolidate dispersed data into a single, conversational knowledge interface powered by RAG, delivering business-grade answers in natural language and deployed across customer service touchpoints like Slack to speed resolution.
• Deliver actionable intelligence and automate decision workflows so teams can act without learning new query tools or parsing dashboards—while retaining transparency and control over recommendations.
• Integrate AI-driven insights seamlessly into existing systems (CRM, helpdesk, messaging platforms) to improve key metrics: support efficiency, response time, and customer satisfaction.

If you’re exploring ways to embed AI-driven intelligence into your products, operations, or customer experience, let’s connect and see what we can unlock.
  • English

    Native or bilingual

  • Portuguese

    Native or bilingual

Can work on-site
London (up to 15km), Cambridge (up to 10km)

Experience

  • Antler
    Entrepreneur in Residence
    April 2025 - May 2025 (1 month)
    Singapore
    Selected to join Antler's global founder program to build a venture-scale tech startup as a CTO and Lead AI Engineer. Our product involved building a bespoke multimodal model that served as the emotional intelligence infrastructure for Generative AI products.
  • Dogpatch Labs
    Entrepreneur in Residence @ Founders
    January 2025 - April 2025 (3 months)
    Dublin, Ireland
    • Selected for Dogpatch Labs' highly competitive Founders Programme to ideate, validate, and build high-growth, venture-scale startups.
    • Completed Phase 1 with a focus on customer discovery, market analysis, lean experimentation, MVP development using AI engineering techniques, and business model validation.
    • Led multiple validation sprints to test hypotheses rapidly, gaining actionable insights into market demand, competitive dynamics, and user behaviour.
    • Based on early validation results and strategic reflections, made a proactive decision to pivot focus and explore alternative venture opportunities beyond the programme framework.
    • Built deep connections within Ireland's startup and investor ecosystem, refining founder skill sets critical for early-stage venture success.
  • GRX Intelligence
    Founder & AI Engineer
    November 2023 - Today (2 years and 7 months)
    London, UK
    I'm the lead AI engineer specialized in Conversational AI and Retrieval Augmented Generation (RAG) systems. I partner with businesses to design and deploy conversational AI pipelines that turn vast, siloed data into an interactive "knowledge base" you can literally talk and analyse quickly. By combining cutting-edge retrieval techniques with generative models, I help organizations unlock actionable insights, streamline decision-making and transform complex datasets into natural-language interfaces.

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Education

  • BA, Neuroscience
    UNIVERSITY of CAMBRIDGE
    2019
  • Data Science, Machine Learning
    Le Wagon
    2021
    Data Science, Machine Learning

Skill set (26)

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