AI & Mechatronics

Hey, I'm Ayomide,

A Machine Learning & AI
ENGINEER

I turn data into intelligent, real-world systems—from multilingual NLP models to real-time embedded computer vision.

Ayomide Adegoke

3+

Years Experience

3

Organizations

Turning data into intelligent, real-world systems

aadegoke100@gmail.com

As a Machine Learning Engineer with hands-on experience, I am eager to support your team in developing data-driven solutions. I've contributed to projects involving data preprocessing, model training, model evaluation, and deployment.

I'm ready to help build intelligent, high-impact features while continuously improving model performance through analytical experimentation and documentation. Most recently, I've been building a machine translation model for local Nigerian languages, and integrating machine learning with embedded hardware for real-time AI-driven systems.

Based In

Lagos, Nigeria

Focus

AI & Robotics

Phone

+234 808 421 4920

Skills, Experience & Education

Languages

Python C / C++

AI / ML

Machine Learning Deep Learning NLP Computer Vision PyTorch Scikit-learn XGBoost OpenCV YOLO Model Training & Evaluation AI Agents Hyperparameter Tuning

Data Processing

Data Cleaning Feature Engineering EDA Data Visualization TF-IDF Count Vectorization

Backend & Deployment

Flask Streamlit REST APIs Model Deployment

Embedded Systems

Arduino Robotics Sensor Integration Embedded AI Hardware-Software Integration Automation

Tools

Git GitHub

Experience

Machine Learning Engineer at Dala Innovation

Lagos, Nigeria · Jul 2025 – Present

  • Developed and trained a machine translation model targeting local Nigerian languages, using complex model architectures and custom PyTorch training/evaluation scripts.
  • Analyzed and cleaned complex datasets for model training.
  • Documented data pipelines, architectures, and performance metrics.

AI and Robotics Intern at National Information Technology Development Agency

Abuja, Nigeria · Jan 2024 – May 2025

  • Integrated machine learning models with embedded hardware and software components to deliver responsive, real-time AI-driven systems.
  • Applied Python, OpenCV, YOLO, XGBoost, computer vision, and embedded systems to solve practical automation and intelligent sensing problems.

Robotics Intern at Coderina EdTech Foundation

Abuja, Nigeria · Aug 2024 – Oct 2024

  • Worked on the Surveillance Robot project, contributing to its design, production, and management.
  • Developed an Automatic Dustbin, integrating sensors and embedded systems for hands-free operation.
  • Assisted in the design and integration of embedded systems for robotic applications.
  • Collaborated with a team to develop innovative solutions for real-world automation challenges.

Education

B.Eng. Mechatronics Engineering

Air Force Institute of Technology, Kaduna, Nigeria

What Can I Do?

  • Machine translation & multilingual NLP
  • Computer vision & embedded AI integration
  • End-to-end ML pipeline development & deployment
  • Data preprocessing & model evaluation

Focus Areas

Machine Translation Computer Vision Embedded AI AI Agents

Hobbies & Interests

Basketball
Reading

To be at the forefront of innovation in AI and Mechatronics, developing intelligent robotic systems that address real-world challenges in sustainable energy, advanced manufacturing, and healthcare.

Featured Projects

Project Experience

01

Igala Text-to-Text Language Translation

Dala Innovation · Jan 2026 – May 2026

Fine-tuned an AfriMBART (mBART) model for English–Igala machine translation, extending the tokenizer with a custom Igala language token and deploying the model on Hugging Face. Built an end-to-end PyTorch/Transformers training pipeline and optimized GPU memory via dynamic padding, gradient checkpointing, and gradient accumulation to train on limited hardware.

View Project

02

Emotion-Based Lighting System

National Information Technology Development Agency

Designed an embedded computer vision system for real-time facial expression recognition, automatically adjusting ambient lighting with multi-coloured LEDs to simulate mood-responsive environments.

View Project

03

Spam Message Classifier

National Information Technology Development Agency · May 2025 – Jun 2025

Trained a Naive Bayes model with Count Vectorization to classify SMS messages as spam or not spam, reaching 97.93% accuracy, and shipped it as a Flask app with an HTML/CSS front end.

View Project

04

Surveillance Robot

Coderina EdTech Foundation · Aug 2024 – Oct 2025

Designed and managed development of a surveillance robot for real-time land surveying, audio/video capture, and object identification, integrating embedded systems and control mechanisms to optimize functionality.

View Project

05

Automated Waste Bin

Coderina EdTech Foundation · Aug 2024 – Oct 2025

Built a sensor-based automated waste bin for hands-free operation, focusing on hardware integration and programming to enhance user experience.

View Project

Personal Projects

01

Resume Screening

Jun 2025 – Jul 2025

Built ML models to classify resumes into job categories via a full scikit-learn pipeline (TF-IDF, custom transformers, target encoding). Tuned Logistic Regression and XGBoost with GridSearchCV, reaching 99% validation accuracy.

View Project

02

Instagram Reach Analysis & Engagement Prediction

Jan 2025 – Feb 2025

Analyzed Instagram data to uncover engagement trends and reach drivers, using data visualization for insight and a Passive Aggressive Regressor plus Random Forest Regressor for prediction.

View Project

03

Medical Image Agent

AI-powered medical imaging application analyzing X-ray, MRI, CT, and ultrasound images with Google Gemini. Built with Streamlit and the Agno framework, generating structured diagnostic reports enriched via DuckDuckGo literature retrieval, with Pillow-based image preprocessing.

View Project

04

Automated YouTube Content Generation

End-to-end automated pipeline for generating and publishing YouTube content.

View Project

I'm always open to new opportunities

Email

aadegoke100@gmail.com

Phone

+234 808 421 4920

Location

Lagos, Nigeria