I am an AI engineer with 6+ years delivering end-to-end ML solutions across data ingestion, feature engineering, model training, evaluation, and deployment. I craft scalable Python pipelines (pandas, NumPy, scikit-learn) and build forecasting models with PyTorch, while collaborating with economists and policy teams to translate complex datasets into actionable insights. I am hands-on with MLOps (Docker, Kubernetes, CI/CD, DVC), have experience with time-series forecasting and large-scale datasets, and I explore GenAI tooling (Hugging Face, OpenAI, Llama) to develop secure APIs using Django and Node.js. I value reproducibility, clear documentation, and stakeholder-friendly visuals.

Abiodun Akindipe

I am an AI engineer with 6+ years delivering end-to-end ML solutions across data ingestion, feature engineering, model training, evaluation, and deployment. I craft scalable Python pipelines (pandas, NumPy, scikit-learn) and build forecasting models with PyTorch, while collaborating with economists and policy teams to translate complex datasets into actionable insights. I am hands-on with MLOps (Docker, Kubernetes, CI/CD, DVC), have experience with time-series forecasting and large-scale datasets, and I explore GenAI tooling (Hugging Face, OpenAI, Llama) to develop secure APIs using Django and Node.js. I value reproducibility, clear documentation, and stakeholder-friendly visuals.

Available to hire

I am an AI engineer with 6+ years delivering end-to-end ML solutions across data ingestion, feature engineering, model training, evaluation, and deployment. I craft scalable Python pipelines (pandas, NumPy, scikit-learn) and build forecasting models with PyTorch, while collaborating with economists and policy teams to translate complex datasets into actionable insights.

I am hands-on with MLOps (Docker, Kubernetes, CI/CD, DVC), have experience with time-series forecasting and large-scale datasets, and I explore GenAI tooling (Hugging Face, OpenAI, Llama) to develop secure APIs using Django and Node.js. I value reproducibility, clear documentation, and stakeholder-friendly visuals.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

Freelance Full-Stack Developer
August 1, 2015 - Present
Provided full-stack development services for various clients, focusing on creating tailored web applications that meet specific user needs. Developed scalable applications using Django and React; implemented secure authentication processes for user data protection; maintained applications post deployment, facilitating updates and performance improvements.
Full Stack Developer (Intern) at Business Web Solution (BWS) USA
July 1, 2025 - September 13, 2025
Contributed to the development and maintenance of web applications, collaborating with cross-functional teams to ensure seamless functionality. Engaged in both front-end and back-end development, employing technologies such as React, Node.js, and SQL databases. Developed user-friendly interfaces, collaborated on API integration, and participated in code reviews.
Web Development Boot Camp Project at Udemy
April 1, 2024 - September 13, 2025
Completed various projects as part of a comprehensive web development bootcamp, gaining hands-on experience in modern web technologies. Focused on building functional and user-friendly applications that adhere to industry standards. Gained proficiency in full-stack development frameworks including React and Node.js; enhanced skills in database management with PostgreSQL and MongoDB; built several projects emphasizing responsive design and API integration.
Research Fellow at Nigerian Institute of Social and Economic Research (NISER)
December 1, 2019 - Present
Designed and implemented end-to-end time series and machine learning pipelines in Python (pandas, NumPy, statsmodels, scikit-learn) and PyTorch to forecast Nigeria’s macroeconomic indicators. Included data ingestion, cleaning, feature engineering (lags, rolling statistics, growth rates), model training, backtesting, and performance evaluation using RMSE, MAPE, and R2. Built and compared a range of supervised and unsupervised models (linear/regularized regression, tree-based methods like Random Forest and XGBoost, SVMs, k-means, clustering, PCA, and deep learning architectures) to predict inflation, unemployment, and sectoral growth, and to segment states/sectors for scenario analysis. Processed large-scale national macroeconomic datasets with robust validation (train-test splits, cross-validation, out-of-sample tests) and deployed models across distributed systems. Partnered with economists and policy stakeholders to translate policy questions into ML problems, and communicated resul

Education

Bachelor of Science at University of Ibadan
November 1, 2012 - September 13, 2025
Bachelor of Science in Economics at University of Ibadan
January 11, 2030 - November 1, 2012
Bachelor of Science in Economics at University of Ibadan
November 1, 2012 - September 13, 2025
Web Development Bootcamp at Udemy
May 1, 2022 - April 1, 2024
Master of Science, Economics at University of Ibadan
September 1, 2014 - November 1, 2016
Bachelor of Science, Economics at University of Ibadan
November 1, 2012 - March 28, 2026

Qualifications

DataCamp Training and Certification
January 1, 2025 - December 1, 2025
Data Science and Machine Learning Bootcamp - Udemy
January 1, 2022 - December 1, 2022

Industry Experience

Software & Internet, Professional Services, Education, Government