Bruno Kinder Email & Phone Number
Who is Bruno Kinder? Overview
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Bruno Kinder is listed as Senior Machine Learning Engineer at VRIFY, a with 111 employees, based in Québec, Quebec, Canada. AeroLeads shows a matched LinkedIn profile for Bruno Kinder.
Bruno Kinder previously worked as Data Scientist | Machine Learning Engineer at Rhetorik and Machine Learning Engineer/Researcher at Thales. Bruno Kinder holds Master Of Science - Ms, Artificial Intelligence from Université Laval.
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About Bruno Kinder
Connecting Technology and HumanityWith over two decades of experience in software engineering, data engineering, and machine learning, I specialize in designing scalable, AI-powered solutions that drive real-world impact. Fueled by curiosity and Albert Einstein’s wisdom—“The more I learn, the more I realize how much I don’t know”—I continuously push boundaries in innovation and learning.Throughout my career, I’ve solved complex challenges for Fortune 500 companies like Petrobras, Accenture, and Thales, as well as agile startups. My expertise bridges system design, enterprise applications, and the seamless integration of machine learning models into production-grade systems.Currently, I lead projects that build and optimize high-performance data pipelines using tools like dbt, Snowflake, and Airflow, ensuring data quality and cost efficiency at scale. My deep knowledge of vector databases has enabled advancements in Retrieval-Augmented Generation (RAG) systems, improving AI precision and relevance.I’ve successfully deployed hundreds of machine learning models across diverse use cases, from time-series forecasting to natural language processing, using frameworks like Huggingface, PyTorch, and TensorFlow. My hands-on MLOps expertise ensures these models are scalable, reliable, and production-ready.🌟 Key Highlights:- Data Engineering Mastery: Skilled in designing, optimizing, and automating data pipelines for large-scale analytics using tools like dbt, Airflow, and Snowflake.- Machine Learning Expertise: Proven track record of deploying end-to-end machine learning models for business-critical applications.- Cutting-Edge Innovation: Extensive work with vector databases and RAG systems, driving AI advancements.- MLOps Leadership: Streamlined workflows from development to production, ensuring scalability and efficiency.- Collaborative Spirit: A mentor and former professor, I thrive on sharing knowledge and fostering team growth.With a Master’s in AI and Machine Learning, published research, and years of practical experience, I’m passionate about leveraging technology to solve complex challenges and improve lives.💡 Let’s Connect!If you need a professional who combines data engineering mastery, machine learning expertise, and a drive to deliver impactful solutions, let’s collaborate!
Listed skills include Java, Software Development, Sql, Uml, and 29 others.
Bruno Kinder's current company
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Bruno Kinder work experience
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Data Scientist | Machine Learning Engineer
CurrentExperienced in building and managing data pipelines with dbt, Snowflake, and Airflow, ensuring high data quality across billions of rows while optimizing query performance and cost efficiency. Skilled in leveraging vector databases for enhancing information retrieval in Retrieval-Augmented Generation (RAG) systems, integrating dense vector search with large language models to improve AI accuracy and relevance. Led the end-to-end MLOps lifecycle for hundreds of machine learning models, from development to deployment, all within a streamlined timeframe. Proficient in AWS SageMaker for scalable model management and deployment, and experienced in utilizing pre-trained models from Huggingface, including BERT, GPT, and Sentence BERT, to drive exceptional performance in NLP tasks.
Machine Learning Engineer/Researcher
Designed AI-enabled edge sensors to detect maneuver activity, enabling real-time data storage and visualization on a map for human decision-making. Achieved a 10x reduction in image transmission time using advanced compression techniques on a Jetson edge computing platform. Developed a dense video captioning prototype utilizing activity classification and NLP techniques. Built a pharmacy purchase forecasting pipeline during the pandemic using time series models such as SARIMAX, Prophet, ETS, XGBoost, Random Forest, CNN-LSTM, and TCN, providing accurate demand predictions.
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Colleagues at VRIFY
Other employees you can reach at vrify.com. View company contacts for 111 employees →
Martin Bradshaw P.Geo
Colleague at VrifyGreater Vancouver Metropolitan Area, Canada
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Victoria Nobel
Colleague at VrifyGreater Vancouver Metropolitan Area, Canada
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Cheyne Mackie
Colleague at VrifyVancouver, British Columbia, Canada
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Edward Kawas
Colleague at VrifyVancouver, British Columbia, Canada
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Sarena Strong
Colleague at VrifyComox Valley A, British Columbia, Canada
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Emilio Carpino
Colleague at VrifyOttawa, Ontario, Canada
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Sharon Ghirra
Colleague at VrifyVancouver, British Columbia, Canada
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Jono Back
Colleague at VrifyVancouver, British Columbia, Canada
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Kriss Munsya
Colleague at VrifyVancouver, British Columbia, Canada
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Frances Jones, Msc
Colleague at VrifyVancouver, British Columbia, Canada
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Bruno Kinder education
Master Of Science - Ms, Artificial Intelligence
Bachelor Of Science, Computer Science
Frequently asked questions about Bruno Kinder
Quick answers generated from the profile data available on this page.
What company does Bruno Kinder work for?
Bruno Kinder works for VRIFY.
What is Bruno Kinder's role at VRIFY?
Bruno Kinder is listed as Senior Machine Learning Engineer at VRIFY.
Where is Bruno Kinder based?
Bruno Kinder is based in Québec, Quebec, Canada while working with VRIFY.
What companies has Bruno Kinder worked for?
Bruno Kinder has worked for Vrify, Rhetorik, Thales, Revenu Québec, and Nurun.
Who are Bruno Kinder's colleagues at VRIFY?
Bruno Kinder's colleagues at VRIFY include Martin Bradshaw P.Geo, Victoria Nobel, Cheyne Mackie, Edward Kawas, and Sarena Strong.
How can I contact Bruno Kinder?
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What schools did Bruno Kinder attend?
Bruno Kinder holds Master Of Science - Ms, Artificial Intelligence from Université Laval.
What skills is Bruno Kinder known for?
Bruno Kinder is listed with skills including Java, Software Development, Sql, Uml, Software Engineering, Scrum, Java Enterprise Edition, and Oracle.
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