R

Renato Boemer

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Canada

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work
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school
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Résumé


Jobs verified_user 0% verified
  • Veloz
    Head of Product & AI
    Veloz
    May 2026 - Current (3 months)
  • Antler
    Entrepreneur in Residence
    Antler
    Apr 2025 - May 2025 (2 months)
    Invited 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
    Dogpatch Labs
    Jan 2025 - Apr 2025 (4 months)
    • 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 cri
  • Le Wagon
    Machine Learning Lecturer
    Le Wagon
    May 2024 - Jun 2024 (2 months)
  • GRX Intelligence
    AI Engineer and Consultant
    GRX Intelligence
    Nov 2023 - Current (2 years 9 months)
    I build agentic AI systems that reason, act, and retrieve across enterprise data. Using LangChain and LangGraph for orchestration, FastAPI for robust service interfaces, and GCP for scalable inference + vector search and RAG. I deliver conversational applications that automate knowledge work and integrate with existing business processes.
  • Le Wagon
    Data Science & AI Lecturer
    Le Wagon
    Oct 2022 - Nov 2025 (3 years 2 months)
    As a lecturer at Le Wagon, my role revolves around teaching data science students in understanding a range of machine learning subjects. These include: • Application of pre-trained models, transfer learning, and API integration on real projects. • Utilisation of key Python libraries such as Keras, Scikit-learn, Numpy, and Pandas. • Fundamental mathematics including Calculus, Linear Algebra, and Statistics. • MLOps principles, including the deployment of models into production, performance monitoring, as well as practical exposure to MLFlow and Docker.
  • Nextdoor
    Data Scientist - Marketing
    Nextdoor
    Aug 2021 - Apr 2023 (1 year 9 months)
    • Built and optimised statistical and machine learning models for user acquisition—boosting conversion rates by 22% and cutting cost per acquisition (CPA) by 18%. • Designed and executed A/B tests and causal-inference studies, translating insights into product changes that improved user engagement by 12%. • Defined SMART KPIs aligned to broader business objectives, enabling clear targets and benchmarks for each market segment. • Applied multivariate statistical models to isolate the impact of marketing levers from confounding variables, ensuring that performance differences reflected true market variation rather than noise. • Authored comprehensive documentation for all project pipelines—ensuring reproducibility and reducing new-hire onboar
  • Anglia Ruskin University
    Research Assistant - Cognitive Neuroscience
    Anglia Ruskin University
    Nov 2019 - Oct 2020 (1 year)
    • Conducted multifaceted cognitive neuroscience research at Morein Lab, Anglia Ruskin University, encompassing in-depth literature reviews, intricate data analysis, and statistical evaluation. • Contributed to research investigating the link between cognitive and response control dysfunctions in mental health, utilising a multidisciplinary approach integrating experimental psychology and cognitive neuroscience. • Supported Dr. Sharon Morein's research exploring cognitive dysfunction in mental health, furthering understanding in this critical area. • Developed research skills and gained valuable experience in a leading cognitive neuroscience lab.
  • University of Cambridge
    Research Assistant - Psychology of Decision Making
    University of Cambridge
    Jul 2018 - Sep 2018 (3 months)
    • Conducted an empirical research study within a large-scale project investigating the psychological drivers of sustainable behaviours. • Examined the role of social norms, cognition, and emotions in environmental concern. • Evaluated interventions designed to promote pro-environmental behaviours and reduce conflict surrounding environmental issues. • Utilised statistical modelling and data analysis techniques to generate insights from research data. • Supervised by Dr. Sander van der Linden.
  • N
    Insights Manager
    Nectar360
    Jun 2015 - Sep 2016 (1 year 4 months)
    • Developed data-driven customer insights at Nectar 360 (formerly Insight 2 Communication) to optimise shopping behaviour and brand loyalty for Sainsbury's.
  • Diageo
    Regional Marketing Manager (Global Travel)
    Diageo
    Aug 2013 - May 2015 (1 year 10 months)
    I was selected as the top candidate among hundreds of applicants around the world to join the Diageo Future Leaders Programme - based in London, UK at Diageo's HQ as part of the Global Travel Team (GTME). I was responsible for leading the brands' innovation agenda within Europe, Russia and North Africa. My work involved brand and market analysis as well as business strategies.
  • Diageo
    Customer Marketing Manager
    Diageo
    Jan 2012 - Aug 2013 (1 year 8 months)
    I have worked on the integration of Diageo Brazil, Uruguay and Argentina’s commercial and marketing strategies. Also, I have developed and implemented the first innovation agenda for the Travel Retail channel in South America.
  • Diageo
    Category Marketing Manager - Whisky and Vodka
    Diageo
    Aug 2007 - Jan 2012 (4 years 6 months)
    I have developed the Whisky and Vodka category marketing strategy at the country level and was the line manager of two marketing analysts.
  • DANONE
    Brand Manager - Innovation
    DANONE
    Jan 2006 - Jul 2007 (1 year 7 months)
    • Led innovation at Danone, managing cross-functional teams for product launches and market adaptation.
Education verified_user 0% verified
  • Le Wagon
    Data Science & AI
    Le Wagon
    Apr 2021 - Jun 2021 (3 months)
  • University of Cambridge
    Bachelor's Degree, Neuroscience
    University of Cambridge
  • ESPM
    Bachelor's Degree, Business
    ESPM
  • M
    Model Context Protocol (MCP)
  • M
    Marketing Engineering
  • A
    Advanced Computer Vision with TensorFlow
  • F
    Foundation: Introduction to LangGraph
Awards verified_user 0% verified
  • O
    OpenAI GPT-3 Hackathon - NLP
  • T
    Top Writer in Artificial Intelligence
  • G
    G C Grindley Fund - Award
Publications verified_user 0% verified
  • S
    Short Course on Psychological Stress