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Alexandre Quemy

Tech Lead @ YData | Former HSBC, IBM

Education

  1. Doctor of Philosophy (Ph.D.) in Machine Learning

    Oct. 2016 - Mar. 2021
    Poznan University of Technology, Poznan, Poland

    Title: End-to-end approach to classification in unstructured spaces with application to judicial decisions

    • Elaboration of new AI methods for justice prediction and explanation.
    • A new mathematical theory for classification, with ”good” properties (explainability, no metric required, no hyperparameter,...) based on hypergraphs and metric learning
    • A generic method to automate most of data preparation using standard hyperparameter tuning techniques
    • The largest curated datasets about the European Court of Human Rights, on which I reached over 94% accuracy predicting the outcome of a judgment.

  2. Master of Science in Mathematics and Computer Science

    Oct. 2009 - Mar. 2015
    INSA Rouen (National Institute of Applied Sciences), Rouen, France
    • Mathematics and Software Engineering Department - Top 5 student
    • “Musique Étude” - additional cursus for musicians

  3. Master of Science in High Performance Computing and Artificial Intelligence

    Oct. 2013 - Jun. 2014
    Cracow University of Technology, Cracow, Poland

Experiences

  1. YData

    Apr. 2022 - NOW

    Data Science & Research Team Lead

    Cracow, Poland
    • Responsible of the Data Science team composed of software engineers, data scientists and researchers.
    • Research, design and implementation of data centric oriented approach to data science.
    • Scalability and robustness of generative models for synthetic data generation
    • Project and team management according to the product roadmap

  2. HSBC

    Dec. 2020 - Mar. 2022

    Senior Assistant Vice President @ Financial Crime Threat Mitigation, Research

    Cracow, Poland
    • Development of innovative solutions to assess and detect financial crimes (Fraud, Money Laundering, Bribery and Corruption, Terrorism Funding).
    • Product owner for internal innovative projects to improve the governance quality and model efficiency.
    • Improving internal model governance lifecycle, including scientific culture, code governance, engineering risks and internal controls.
    • Scientific advisor acting as scientific peer reviewer prior submission of any important technical and scientific documentation related to models.

    Lead Manager (AVP) @ Financial Crime Threat Mitigation, Compliance Analytics

    Cracow, Poland
    • Leading cross-functional teams from PoC to operational deployment and monitoring in the field of financial crimes detection
    • Focus on global scale Name Screening systems
    • Establishing design standards for machine learning based models
    • Identifying and closing technical gaps in team member skills by providing effective training

  3. IBM

    May. 2015 - Dec. 2020

    Senior Engineer & Data Scientist

    Mar. 2017 - Nov. 2020
    Cracow, Poland
    • Software Architecture and Engineering on IBM Integrated Analytics System and IBM Cloud Pak for Data
    • Responsible for the monitoring solutions of GPFS and Red Hat OpenShift in Hybrid Cloud environment
    • Architecture and R&D of an AI platform for financial process automation (IBM Cobee)
    • Architecture and R&D of an AI platform to analyze code quality and predict regressions (IBM Code Quality Center)
    • Machine Learning and Data Science local trainer
    • Conception and implementation of a NLP and Topic Modeling service.
    • Responsible for the collaboration with universities (conference, lectures, joint research projects)
    • Following master students and interns on research oriented subjects

    Engineer

    May. 2015 - Nov. 2017
    Cracow, Poland
    • Scrum master and small-team leader
    • Design, implementation and tests of the software stack for IBM Integrated Analytics System (Python)
    • Development of a server to transfer and synchronize data between on premise appliances and the Cloud with High Availability and Disaster Recovery constraints (C++)
    • Prototype of a semantic search engine for jurisprudence and law related documents

  4. Watussi

    Aug. 2017

    Data Scientist

    Paris, France
    • Conception and implementation of a NLP tool dedicated to Search Engine Optimization (SEO)

  5. X-Formation

    Nov. 2014 - Apr. 2015

    Software Engineer & Product Owner

    Cracow, Poland
    • Conception of a predictive module in Go (based on temporal series)
    • Improvement of the company development workflow
    • Development of the sustainability and valorization strategy
    • Database optimization and normalization
    • Software architecture, including highly distributed architecture

  6. Inria

    Jun. 2012 - Apr. 2015

    Research Collaborator

    May. 2014 - Apr. 2015
    Saclay, France

    Title: Insertion of adaptive modalities in the mono or multi objectives evolutionary planner Divide-and-Evolve

    Supervisor: Marc Schoenauer, TAO team

    • Solving a temporal planning problem (MultiZenoTravel) from the International Planning Competition
    • Development of the ZenoSolver, a C++14 solver for MultiZenoTravel instances
    • Conception, programmation and experimental validation (using R) of the online adaptation of (hyper)parameters
    • Software engineering on Descarwin (french National Agency for Research: ANR-09-COSI-002)

    Research Collaborator

    Sep. 2012 - Feb. 2013
    Lille, France

    Title: Parallel Island Model for Metaheuristics.

    Supervisor: Clive Canape, DOLPHIN team

    • Genetic algorithms, stochastic optimization and statistics (ANOVA model),...
    • Implementation in C++11, JSON parser, UML modelling, parallel computing and HPC...

    Internship

    Jun. 2012 - Sep. 2012
    Lille, France
    • Software engineering on ParadisEO, a C++ framework for metaheuristics
    • Development of a module for shared memory parallelism
    • Stabilisation for a new release of ParadisEO
    • Integration of engineering tools : bug tracking, profiling, builds, continuous integration,...