Ayo Olanipekun
I am a Machine Learning Engineer with a passion for delivering exceptional results.
With my expertise in building machine learning models,exploratory data analysis, building back and front end for machine learning applications, continuous integration and development CI/CD of machine learning models, Designing and developing scalable MLOps frameworks to support models based on client requirements using the following tools Python, JavaScript, SQL, Matlab, React, TensorFlow, Dockers, Flask, Heroku, Streamlit, Azure Databricks, MLflow, AWS, GCP, Azure, Git, Spark, GitHub Actions, Keras, scikit‑learn, Google BigQuery,NextJS, Vscode,Vercel, Jenkins, Node.js, Fivetran, Gitlab, Jira, Kubeflow, CI/CD, Linux, Generative AI, Ollama, LangChain, Airflow, Grafana, ONNX, Prefect, Hopsworks, Evidently Ai, Git Bash, Jira, Jupyter Notebook, VS Code,UNIX, MacOS, Pytest
Who am I?
With more than 6 years of comprehensive experience in machine learning research. Specialized in Data Science, software development, Research, Machine Learning its application to Engineering and real-life problems. I have built and deployed predictive models using machine learning algorithms that have helped solve business problems. I have built an automated Machine Learning system that makes machine learning model development and deployment quicker, scalable and efficient.
Here is my educational background.
PhD in Machine Learning Application to computaional Materials
- Data Science
- Machine Learning Engineering
- Machine Learning Prediction
Featured Projects
Here are some of my projects you shouldn't misss
Blog
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MLOps is a set of practices and tools that aims to streamline the process of developing, deploying, and managing machine learning models at scale. Just as DevOps revolutionized software development, MLOps is transforming the way organizations build and deploy machine learning models. I will explore the essential tools required for implementing MLOps effectively.
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price elasticity of demand will be introduced, and how it is applied by marketers to track customer behavior and obtain the necessary insights. A use case will be considered using publicly available data for price elasticity of demand data analysis
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Shell scripting is powerful because it can be used to automate repetitive tasks, saving time and effort, and reducing the possibility of errors. Shell scripts can be used to manage and configure operating system settings, start or stop services, and perform file management tasks
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Contact
Let's be awesome together!
As a Machine Learning Engineer, I am driven by my love for coding and my desire for new challenges. If you have opportunities for collaboration or want to build something amazing, don't hesitate to contact me!
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