Ouboti Djaneye-Boundjou

Experience

• 

  University of Dayton

  Feb 2011 - Dec 2017

  Conducted extensive research and executed projects spanning Particle Swarm Optimization (PSO), system identification (SysID), linear and nonlinear control, adaptive control, aircraft control, and robotics.Innovated an adaptive PSO algorithm capable of robust performance without the need for precise parameter tuning, distinguishing it from traditional PSO algorithms. Applied this algorithm effectively and successfully in simulation to fine-tune Proportional-Integral-Derivative (PID) controllers, as well as, in practice for a robotic calibration project.Developed novel memory-based discrete-time adaptive learning algorithms tailored for on-line function approximation, achieving superior learning generalizations without necessitating exogenous input signals. Implemented these algorithms in both simulation and practice for system identification of a robotic arm.Engineered MATLAB/Simulink programs for the simulation and validation of theoretical findings and the effective implementation of designed algorithms, ensuring seamless integration of the said theoretical findings into practical applications. Show less

  • Research Assistant (Control Systems)

    Aug 2011 - Dec 2017

  • Electronics Lab Teaching Assistant

    Feb 2011 - Dec 2017
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  University of Dayton

  Aug 2018 - Feb 2021

  Explored cutting-edge methodologies at the intersection of computer immunology and AI to develop antimalware systems for mitigating avionics cyber vulnerabilities.Applied NLP techniques such as the Latent Dirichlet Allocation algorithm, ML, and Deep Learning (DL) to engineer effective and efficient systems capable of accurately classifying malware programs in a highly imbalanced dataset, exceeding 500 GB in size.Leveraged Genetic Programming (GP) for generating improved functional measures that can be paired with a classifier and optimized the computational efficiency of the generation process via MATLAB’s MEX functions, which invoke C/C++ subroutines.Designed a generative model using evolutionary algorithms, as well as statistical functionality and novelty tests. Show less

  • Postdoctoral Researcher (AI / ML based Cybersecurity; SWEC Federal Project)

    Oct 2018 - Feb 2021

  • Adjunct Faculty

    Aug 2018 - Feb 2021
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  University of Cincinnati

  Aug 2019 - Feb 2021

  Sr. Research Associate (AI / ML Cybersecurity; SWEC Federal Project)

  Assisted the research of AI and ML approaches to cybersecurity, focusing on the co-evolution of programs to engineer resilient detection systems capable of identifying emerging threats.Employed advanced techniques for crafting adversarial examples to augment the feature set of malware programs, aiming to enrich the training data and, as a result, enhance the efficacy of detection models.Applied sophisticated adversarial attack mitigation strategies to strengthen detection systems. Show less

• 

  Nike

  Nov 2021 - now

  Lead Data Scientist, Search Modeling

  Conducted in-depth research and experimentation utilizing Nike’s diverse and expansive data landscape to validate and refine various retrieval and ranking models, including Large Language Model-based, personalized, and multi-objective models, to enhance search relevance and ranking performance on Nike .COM and APP platforms.Built and maintained robust production data, model training, and model serving pipelines within Nike’s MLOPs ecosystem, while ensuring seamless integration and operation efficiency.Collaborated closely with cross-functional teams of business and engineering stakeholders to conduct A/B testing of models. Spearheaded a strategic data science initiative in partnership with voice-of-consumer stakeholders, conceptualizing and implementing a proof-of-concept text analytics and Natural Language Processing (NLP) tool to extract actionable insights from consumer data to drive informed decision-making and product improvements. Built and maintained production data product, model training, and model serving pipelines within Nike’s MLOPs ecosystem.Worked closely with business and engineering stakeholders to A/B test models. Led data science partnership with voice-of-consumer stakeholders to design proof-of-concept text analytics and Natural Language Processing (NLP) tools to garner insights from consumer data. Show less