Renato Boemer
About
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AI Consultant | Helping SMBs with AI Marketing Automation.
Canada
Résumé
Jobs
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Head of Product & AIVelozMay 2026 - Current (3 months)- Entrepreneur in ResidenceAntlerApr 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.
- Entrepreneur in Residence @ FoundersDogpatch LabsJan 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
- Machine Learning LecturerLe WagonMay 2024 - Jun 2024 (2 months)
- AI Engineer and ConsultantGRX IntelligenceNov 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.
- AI EngineerGRX IntelligenceNov 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.
- Data Science & AI LecturerLe WagonOct 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. I have taught in London, Madrid and Tokyo.
- Data Scientist - MarketingNextdoorAug 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 onbo
- Data ScientistNextdoorAug 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 onbo
- Research Assistant - Cognitive NeuroscienceAnglia Ruskin UniversityNov 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.
- Research Assistant - Psychology of Decision MakingUniversity of CambridgeJul 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.
- Insights ManagerNectarJun 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.
- Regional Marketing Manager (Global Travel)DiageoAug 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.
- Customer Marketing ManagerDiageoJan 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.
- Category Marketing Manager - Whisky and VodkaDiageoAug 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.
- Brand Manager - InnovationDANONEJan 2006 - Jul 2007 (1 year 7 months)- Led innovation at Danone, managing cross-functional teams for product launches and market adaptation.
Education
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- Data Science & AILe WagonApr 2021 - Jun 2021 (3 months)A 10-week intensive coding bootcamp in London, accredited by The British Computer Society (BCS) to learn Data Science with Python: • Data Analytics with SQL, Pandas, NumPy, Matplotlib and Seaborn • Statistics with SciPy and Statsmodels • Machine Learning with Scikit-learn • Deep Learning with TensorFlow, Keras • Cloud Engineering with Google Cloud Platform. ▷ Machine Learning: • Supervised Learning: Linear Models, Logistic Regression, Support Vector Machines, Stochastic Gradient Descent, K-nearest Neighbours, Naive Bayes, Decision Trees, Random Forest • Unsupervised Learning: K-Means, Principal Component Analysis (PCA) • Model Selection, Cross-Validation, Hyperparameter tuning, Scoring ▷ Deep Learning: • Convolution Neural Networks, Recur
- Bachelor of Arts - BA, BusinessESPM Escola Superior de Propaganda e Marketing
- ESPMESPM
- BA, NeuroscienceUniversity of CambridgePapers: Cognitive & Behavioural Neuroscience, Statistics, Experimental Psychology, Research Methods, Evolutionary Biology, Neurobiology, Developmental Neuroscience. Final project: Noradrenaline drives the functional shift among the basolateral amygdala, nucleus accumbens shell, and anterior insula in rats once compulsivity is well-established in a SIP procedure. Supervisor: Dr David Belin
Projects (professional or personal)
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- DDeep Reinforcement Learning research paper implementationAug 2024This project implements a Deep Q-Network (DQN) agent to play Atari games, based on the groundbreaking 2013 paper "Playing Atari with Deep Reinforcement Learning" by Mnih et al. The implementation focuses on the Breakout game but can be extended to other Atari environments.
Awards
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- NOpenAI GPT-3 Hackathon - NLP Deep Learning Labs (2nd Place)Nextgrid OpenAIJun 2021We developed ReviewRaven, which is powered by GPT-3 autoregressive language model that uses deep learning to interpret a human-like text. ReviewRaven creates clustering and sentiment analysis based on game reviews. It is a simple and easy online tool for game developers and companies that need quick text review interpretation and a sense of direction of what the customers think about a product. ReviewRaven saves time, money and offers consistent and reliable reports based on what customers/players say and feel. Just upload a CSV file and ReviewRaven outputs a dashboard with key stats and visual representation of the reviews. ReviewRaven will transform the way developers interact with gamers, enabling them to create a unique gaming experien
- Top Writer in Artificial IntelligenceMediumJan 2021Named a top writer in Artificial Intelligence on Medium. I have written articles on Medium about Data Science, Machine Learning and Artificial Intelligence. Also, I have been awarded the title of Top Writer in Artificial Intelligence. My articles were published by top publications such as Towards Data Science, Better Programming and The Startup. Reach: +50k readers/month
- TThe British Psychological Society MBPsSThe British Psychological SocietyAug 2019I have been granted the Graduate Basis Membership (MBPsS) for the British Psychological Society.
- GG C Grindley Fund - AwardG C Grindley Fund School of Biological Sciences at the University of CambridgeJun 2018I received an award for developing a research project at the Department of Psychology during the summer of 2018 along with Dr Sander van der Linden (Head of the Social Decision-Making Lab)
Publications
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- FShort Course on Psychological StressForm NutritionJan 2019