Open to opportunities

Dele Tella

@deletella

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Innovative Machine Learning Engineer with over five years of experience.

Nigeria

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my machine learning expertise to drive impactful solutions.

I am an innovative Machine Learning Engineer with over five years of progressive experience in designing, deploying, and optimizing AI-driven solutions. My expertise lies in developing end-to-end ML pipelines, scaling production models, and integrating predictive algorithms into cloud-native architectures. I have a proven track record of applying deep learning, regression analysis, and time-series forecasting to solve complex business problems in technology and finance domains.

In my current role as a Machine Learning Infrastructure Engineer at Webb Fontaine Group, I have optimized compute resource allocation for model training, reducing training time by 30%. I also architect and maintain scalable data infrastructure to support the training and deployment of computer vision models. My experience as a Machine Learning Team Lead during my internship at Hamoye allowed me to lead the development of a CNN model for satellite imagery classification, achieving impressive validation metrics.

Throughout my career, I have developed a strong foundation in machine learning and AI, with proficiency in Python, SQL, and cloud computing platforms like Google Cloud and AWS. I am passionate about mentoring others and have volunteered to train high-school students in machine learning techniques, further solidifying my commitment to the field.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Infrastructure Engineer

Current

Webb Fontaine Group

May 2021 - Present (4 years 1 month)

Optimized compute resource allocation for model training, reducing training time by 30%. Architected and maintained scalable data infrastructure to support computer vision for import/export goods examination and deployed time-series models for real-time revenue tracking. Collaborated with data science teams to containerize models, enhancing production readiness.

Machine Learning Data Infrastructure Computer Vision Time Series Docker Cloud Computing AWS Google Cloud Python

Machine Learning Team Lead

Hamoye Data Science Internship

Sep 2023 - Dec 2023 (3 months)

Led the development of a VGG16-based CNN to classify satellite imagery by atmospheric conditions and land use, achieving 0.09 validation loss and 89% F1 score. Built a Heroku-hosted hard-voting ensemble classifier for wildlife trade risk assessment. Engineered a multivariate regression model for building energy efficiency forecasting.

Machine Learning Deep Learning CNN VGG16 Regression Modeling Heroku Python TensorFlow Keras

Machine Learning Systems Engineer

ALX Africa

Aug 2022 - Oct 2023 (1 year 2 months)

Developed and deployed a linear regression web service to estimate accommodation prices using Python, Flask, and AWS EC2 for scalable public access. Established continuous integration and automated testing pipelines for ML model updates, ensuring robust version control and rollback capabilities. Automated infrastructure provisioning and configuration management with Terraform and AWS CLI, achievin

Machine Learning Python Flask AWS EC2 Automated Testing Version Control Terraform AWS CLI Cloud Computing

AI Engineer

Data Science Nigeria Hackathon

Aug 2021 - Nov 2021 (3 months)

Designed and optimized neural network architectures (CNN, RNN) for e-commerce user response prediction, increasing recall by 15%. Applied ensemble methods (Random Forest, CatBoost, Gradient Boosting) for customer segmentation and personalization strategies.

AI Engineering Neural Networks CNN RNN Random Forest CatBoost Gradient Boosting Python

Education

Degrees, certifications, and relevant coursework

The Federal University of Technology, Akure (FUTA)

Bachelor of Engineering, Electrical and Electronics Engineering

Grade: Second Class Honours: Upper Division

Activities and societies: Key courses include Mathematical Modelling, Computer Software Applications, Electromagnetic Field Theory, Control Engineering, Technical Report Writing, Digital Signal Processing, Electrical Service Design.

Completed a Bachelor of Engineering with a major in Electrical and Electronics Engineering, graduating with Second Class Honours: Upper Division. Key courses included Mathematical Modelling, Computer Software Applications, Electromagnetic Field Theory, Control Engineering, Technical Report Writing, Digital Signal Processing, and Electrical Service Design.