About me

I am a highly skilled Machine Learning Engineer with over four years of experience in designing, developing, and deploying advanced machine learning models and solutions. My expertise in MLOps enables seamless integration of ML models into production environments through robust CI/CD pipelines.

I also specialize in applying machine learning for social good, I am proficient in Python, TensorFlow, and PyTorch. And as a researcher, I collaborate closely with data scientists/engineers and other academic researchers to deliver impactful AI solutions, driving positive change while staying at the forefront of AI advancements.

What i'm doing

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    Machine Learning Engineering

    Designing, developing, and deploying advanced machine learning and data science models from scratch to production level.

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    Machine Learning Operations

    Applying MLOps methodologies for seamless integration of ML models into production environment.

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    Research

    Conducting cutting-edge research to stay at the forefront of AI advancements and drive innovation in machine learning.

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    Backend Development

    Building robust backend systems and RESTful APIs with Flask, FastAPI, and Django for scalable applications.

Resume

Education

  1. M.Sc In Financial Engineering

    Worldquant University, USA
  2. B.Sc in Applied Mathematics with Statistics

    Bells University of Technology, Nigeria
  3. HND in Statistics (B.Sc Equivalent)

    Federal Polytechnic Ilaro, Nigeria

Experience

  1. Machine Learning Engineer

    May 2024 - Present | Tair Labs, Gauteng, South Africa (Remote)

    • Developed an LLM-based WhatsApp chatbot for the hospitality industry to streamline operations, track customer orders, and manage staff itineraries.
    • Designed and implemented a computer vision-based object and action-tracking model with a live analytics dashboard for real-time insights.
    • Managed the end-to-end backend pipeline, including MLOps architecture, to ensure seamless deployment and maintenance of machine learning services.

  2. ML Engineer — Data Scientist

    Mar 2022 - Apr 2024 | Creative Advanced Technologies, Dubai, United Arab Emirates (Remote)

    • Developed and deployed recommendation systems, driving a 40% uplift in sales by optimizing product visibility and customization.
    • Implemented REST API endpoints for recommendation systems using FastAPI and Docker, achieving rapid communication with 10ms response times.
    • Built an automated training system for recommendation engines, enhancing system efficiency by 30% through Docker, Kubeflow, and Jenkins.
    • Deployed an AI-driven content moderation platform that filtered out 95% of inappropriate content using computer vision and NLP.
    • Architected a content moderation workflow with Kafka, Docker, and Amazon S3, reducing manual moderation workload by 40%.
    • Engineered an AI-based essay grading system integrating LangChain with OpenAI’s LLMs, improving grading precision and feedback.
    • Conducted A/B testing to optimize model performance and user experience across various platforms.

  3. Data Scientist

    Jan 2022 - Mar 2022 | Longevity InTime Biotech, Wilmington, Delaware USA (Remote)

    • Developed predictive models for cancer diagnosis with 90% accuracy, using TensorFlow for image processing and neural network training.
    • Deployed models in the Longevity app for disease prediction, analyzing user biomarkers from devices like Apple Watch and Fitbit.
    • Collaborated with cross-functional teams to deliver data-driven insights, enhancing product features and decision-making capabilities.

  4. Data Scientist

    Jan 2020 - Mar 2022 | Data Science Nigeria, Lagos, Nigeria

    • Developed a database of 12,000+ local drug store locations, leading to better resource allocation.
    • Built an end-to-end deep learning model achieving 90% accuracy in classifying pharmacies, reducing data verification time by 20%.
    • Architected an ETL pipeline for interactive analytics dashboards and report building, improving health facility monitoring.
    • Engineered an image data warehouse with over 5000 images stored securely in Amazon S3 buckets.
    • Developed a Retail Audit Computer Vision model using YOLO to recognize and analyze FMCG products in Nigeria.

  5. AI Research Assistant

    Dec 2019 - Dec 2020 | Africa4AI, South Africa (Remote)

    • Conducted analysis of 600k+ tweets to identify themes for public health interventions during COVID-19.
    • Led the development of an object detection model for identifying rooftops in satellite images, aiding disaster response planning.
    • Predicted traffic accidents in South Africa using LightGBM and CatBoost with 80% accuracy, enhancing road safety strategies.

My skills

  • Machine Learning & Data Science
    90%
  • MLOps
    85%
  • Data Engineering
    80%
  • Databases
    75%
  • Cloud Platforms
    85%
  • Web Development
    80%
  • Visualization Tools
    85%
  • Testing & APIs
    75%
  • Version Control & CI/CD
    80%

Portfolio

Research Publications

Contact

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