Ayodeji Ajayi

Senior Machine Learning Ops Engineer at Michelle & Anthony Consulting Limited
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Contact Information
us****@****om
(386) 825-5501
Location
Abuja, NG

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Credentials

  • IBM AI Engineering Professional Certification
    IBM
    Oct, 2023
    - Nov, 2024
  • IBM Data Science Specialization Professional Certification
    IBM
    Jul, 2023
    - Nov, 2024
  • FInOps Certified Practitioner
    FinOps Foundation
    Jun, 2023
    - Nov, 2024
  • Google Project Management Professional
    Google
    Jun, 2023
    - Nov, 2024
  • IBM Machine Learning (With Honors)
    IBM
    Jun, 2023
    - Nov, 2024
  • Agile Project Management Practitioner
    Google
    May, 2023
    - Nov, 2024
  • IBM Building Deep Learning Models with Tensorflow
    IBM iX
    Apr, 2023
    - Nov, 2024
  • IBM Deep Neural Networks with Pytorch
    IBM iX
    Apr, 2023
    - Nov, 2024
  • Remote Work Professional Certification - RWPC™
    CertiProf
    Apr, 2023
    - Nov, 2024
  • Amazon Web Services Cloud Practitioner Essentials
    Amazon Web Services (AWS)
    Mar, 2023
    - Nov, 2024
  • IBM DevOps
    IBM
    Mar, 2023
    - Nov, 2024
  • Python for Data Science and AI
    Coursera
    Mar, 2023
    - Nov, 2024
  • DevOps Essentials
    Coursera
    Feb, 2023
    - Nov, 2024
  • Machine Learning with Python
    freeCodeCamp
    Jan, 2023
    - Nov, 2024
  • SQL (Basic)
    HackerRank
    Jan, 2023
    - Nov, 2024
  • SQL (Intermediate)
    HackerRank
    Jan, 2023
    - Nov, 2024
  • Data Analysis with Python
    freeCodeCamp
    Nov, 2022
    - Nov, 2024
  • Introduction to DevOps
    Great Learning
    Oct, 2022
    - Nov, 2024
  • IELTS Academic
    IELTS Official
    Sep, 2022
    - Nov, 2024
  • Dynamic Programming
    Great Learning
    Mar, 2022
    - Nov, 2024
  • Problem Solving
    HackerRank
    Mar, 2022
    - Nov, 2024
  • Python
    HackerRank
    Mar, 2022
    - Nov, 2024
  • Fundamentals of Digital Marketing
    Google
    May, 2021
    - Nov, 2024

Experience

    • Nigeria
    • Education Administration Programs
    • 1 - 100 Employee
    • Senior Machine Learning Ops Engineer
      • May 2023 - Present

      - Managed CI/CD pipelines for AI projects, enabling efficient development and updates. -Implemented image enhancement techniques and custom OCR models for document processing, resulting in an increase in text recognition accuracy, reduction in errors, and improved document image clarity and processing efficiency. - Oversaw the day-to-day operations of AI projects, managing resources and timelines. - Implemented monitoring and logging solutions to ensure the health and performance of AI… Show more - Managed CI/CD pipelines for AI projects, enabling efficient development and updates. -Implemented image enhancement techniques and custom OCR models for document processing, resulting in an increase in text recognition accuracy, reduction in errors, and improved document image clarity and processing efficiency. - Oversaw the day-to-day operations of AI projects, managing resources and timelines. - Implemented monitoring and logging solutions to ensure the health and performance of AI systems. - Worked on continuous improvement of AI operations and efficiency. - Collaborated with product managers to design and implement NLP-driven features. - Conducted market research to identify new AI opportunities and trends. - Collaborated with stakeholders to prioritize AI initiatives and allocate resources effectively.

    • Artificial Intelligence | MLOps Engineer
      • Dec 2022 - May 2023

      - Developed novel machine learning, and natural language processing models to address complex business challenges. - Integrated AI workflows with DevOps practices for seamless deployment and automation. - Managed CI/CD pipelines for AI projects, enabling efficient development and updates. - Assessed and mitigated potential biases in AI models and data sources. - Developed and implemented strategies to ensure ethical AI practices within the organization.

    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Oct 2021 - Aug 2022

      - Optimized AI workloads and GPU utilization to achieve maximum performance. - Ensured data security and compliance while handling sensitive AI data. - Developed a virtual assistant model that could communicate with the user according to client specifications, implementing new tools and documentation, among others. - built an action recognition program that could recognize basic human actions efficiently and relate with the user according to client specifications, which appealed to 60%… Show more - Optimized AI workloads and GPU utilization to achieve maximum performance. - Ensured data security and compliance while handling sensitive AI data. - Developed a virtual assistant model that could communicate with the user according to client specifications, implementing new tools and documentation, among others. - built an action recognition program that could recognize basic human actions efficiently and relate with the user according to client specifications, which appealed to 60% of users. Operated closely with the client and team on artificial intelligence research, - Architected a fortified cloud infrastructure on AWS, leveraging Terraform for infrastructure as code, which reduced downtime and led to a remarkable 100% uptime. Managed CI/CD pipelines using Ansible automation resulted in 21% faster deployment times and reduction in deployment errors. Show less - Optimized AI workloads and GPU utilization to achieve maximum performance. - Ensured data security and compliance while handling sensitive AI data. - Developed a virtual assistant model that could communicate with the user according to client specifications, implementing new tools and documentation, among others. - built an action recognition program that could recognize basic human actions efficiently and relate with the user according to client specifications, which appealed to 60%… Show more - Optimized AI workloads and GPU utilization to achieve maximum performance. - Ensured data security and compliance while handling sensitive AI data. - Developed a virtual assistant model that could communicate with the user according to client specifications, implementing new tools and documentation, among others. - built an action recognition program that could recognize basic human actions efficiently and relate with the user according to client specifications, which appealed to 60% of users. Operated closely with the client and team on artificial intelligence research, - Architected a fortified cloud infrastructure on AWS, leveraging Terraform for infrastructure as code, which reduced downtime and led to a remarkable 100% uptime. Managed CI/CD pipelines using Ansible automation resulted in 21% faster deployment times and reduction in deployment errors. Show less

    • Nigeria
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Machine Learning Engineer
      • Nov 2020 - Sep 2021

      - Conducted performance monitoring and optimization to maintain high-quality AI services. - Evaluated and integrated new data sources to improve model accuracy and insights. - Created and implemented new forecasting models to increase company productivity. - Developed and managed data pipelines for AI projects, including data extraction, transformation, and loading (ETL) processes. - Ran statistical analyses within software to process large datasets. - Leveraged mathematical… Show more - Conducted performance monitoring and optimization to maintain high-quality AI services. - Evaluated and integrated new data sources to improve model accuracy and insights. - Created and implemented new forecasting models to increase company productivity. - Developed and managed data pipelines for AI projects, including data extraction, transformation, and loading (ETL) processes. - Ran statistical analyses within software to process large datasets. - Leveraged mathematical techniques to develop engineering and scientific solutions. - Stayed up-to-date with AI ethics research and industry best practices. Show less - Conducted performance monitoring and optimization to maintain high-quality AI services. - Evaluated and integrated new data sources to improve model accuracy and insights. - Created and implemented new forecasting models to increase company productivity. - Developed and managed data pipelines for AI projects, including data extraction, transformation, and loading (ETL) processes. - Ran statistical analyses within software to process large datasets. - Leveraged mathematical… Show more - Conducted performance monitoring and optimization to maintain high-quality AI services. - Evaluated and integrated new data sources to improve model accuracy and insights. - Created and implemented new forecasting models to increase company productivity. - Developed and managed data pipelines for AI projects, including data extraction, transformation, and loading (ETL) processes. - Ran statistical analyses within software to process large datasets. - Leveraged mathematical techniques to develop engineering and scientific solutions. - Stayed up-to-date with AI ethics research and industry best practices. Show less

    • Nigeria
    • Software Development
    • 1 - 100 Employee
    • Artificial Intelligence | MLOps Engineer
      • Sep 2018 - Oct 2020

      - Extracted and assessed data from databases to drive improvement of product development and business strategies and processes. - developed a virtual assistant model that could interact with the user according to client specifications, implementing new tools and documentation, among others - Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability and performance. - Reviewed project… Show more - Extracted and assessed data from databases to drive improvement of product development and business strategies and processes. - developed a virtual assistant model that could interact with the user according to client specifications, implementing new tools and documentation, among others - Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability and performance. - Reviewed project specifications and designed technology solutions that met or exceeded performance expectations. - Initiated scalable cloud infrastructure on Azure and streamlined CI/CD pipelines, resulting in an increase in development speed and reduction in time-to-market. - Worked closely with a team on artificial intelligence research. We primarily used Python (Tensorflow) . 20% of my work was doing Research on Neural Networking concepts, while the other 80% of my work was designing deep learning models for OCR, image segmentation as well as image classification - Worked on improving the accuracy and efficiency of existing computer vision systems. - Collaborated with product teams to integrate computer vision capabilities into applications. Show less - Extracted and assessed data from databases to drive improvement of product development and business strategies and processes. - developed a virtual assistant model that could interact with the user according to client specifications, implementing new tools and documentation, among others - Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability and performance. - Reviewed project… Show more - Extracted and assessed data from databases to drive improvement of product development and business strategies and processes. - developed a virtual assistant model that could interact with the user according to client specifications, implementing new tools and documentation, among others - Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability and performance. - Reviewed project specifications and designed technology solutions that met or exceeded performance expectations. - Initiated scalable cloud infrastructure on Azure and streamlined CI/CD pipelines, resulting in an increase in development speed and reduction in time-to-market. - Worked closely with a team on artificial intelligence research. We primarily used Python (Tensorflow) . 20% of my work was doing Research on Neural Networking concepts, while the other 80% of my work was designing deep learning models for OCR, image segmentation as well as image classification - Worked on improving the accuracy and efficiency of existing computer vision systems. - Collaborated with product teams to integrate computer vision capabilities into applications. Show less

Education

  • Landmark University
    Bachelor of Applied Science - BASc, Computer Science

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