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JM

Jose Mendoza

AI Architect | Partner @ Prophecy Labs
Brussels, Belgium

As an AI Expert, I help organizations embrace and implement advanced artificial intelligence solutions. With extensive experience in building high-performing AI teams from scratch, I blend technical skills with strategic insights to unlock the power of data-driven innovation for businesses. At the core of my work is a passion for mentoring emerging talent, fostering a culture of continuous learning, and aligning cross-functional teams around a shared vision. By leveraging industry best practices and cutting-edge technologies, I consistently deliver sustainable, resilient AI and Data Science frameworks designed to adapt and evolve as the business grows.

Top roles

Developer / Programmer< 2 years
Data Analyst< 2 years
AI Specialist5 - 10 years

Back-end

AI .NET
Python

Cloud

Cloud

Miscellaneous

Machine Learning

Microsoft Dynamics 365

M365
Language
Native Spanish
Spanish
Native
English
Fluent
French
Good
Work experience
Since 2011
AI Architect | Partner @ Prophecy Labs
01 June 2021 -

Joined Prophecy Labs as Lead Data Scientist, evolving into an AI Architect role responsible for designing scalable AI solutions, shaping technical strategy, and guiding implementation for enterprise clients.

MLOps Expert | Product Owner (Freelance) @ DSM-Firmenich
01 October 2022 - 01 May 2024

Architected a comprehensive MLOps maturity roadmap and designed a centralized MLOps framework to streamline the model lifecycle.

Machine Learning Engineering Manager (Freelance) @ Nike
01 August 2021 - 01 August 2022

Collaborated with Data Science teams to develop and execute a robust MLOps strategy, enhancing the efficiency of the machine learning lifecycle.

Full-stack Data Scientist @ KBC Bank en Verzekering | KBC Bank Ireland
01 October 2018 - 01 May 2021

Designed and implemented end-to-end machine learning models for various applications, improved the deployment of AI solutions through MLOps tools.

PhD Researcher @ KU Leuven - Faculty of Economics and Business
01 October 2014 - 01 October 2018

Conducted analysis of micro-structural datasets to examine the impact of exogenous shocks on market quality.

Software Engineer | Financial Data Analyst @ GMT Prime Corp
01 October 2011 - 01 August 2013

Created and implemented automated trading strategies for foreign exchange markets using quantitative models.

Research Assistant - Meteorology @ Venezuelan Institute of Scientific Research
01 January 2011 - 01 September 2011

Improved the existing forecasting system by implementing advanced data assimilation and validation models.

Education experience
Since 2005
quantitative finance @ Solvay Brussels School
01 October 2013 - 30 September 2014

Advanced Master in Quantitative Finance, graduated Magna Cum Laude.

Computer Science Engineering @ Simon Bolivar University
01 September 2005 - 01 March 2011

Bachelor's degree in Computer Science Engineering.

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