Afolabi Olawale

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An AI Engineer
who buildsIntelligent Systems

About Me

I'm an AI Engineer who transforms complex challenges into intelligent solutions. With expertise in machine learning, deep learning, and natural language processing, I build production-ready AI systems that solve real-world problems. From conversational AI platforms to advanced NLP pipelines, I specialize in creating scalable, explainable AI applications that drive meaningful impact. My journey from data analysis to AI engineering has equipped me with a unique perspective on turning data insights into intelligent automated systems.

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My

Skills

(1)

Python & AI Frameworks

Expert in Python programming with extensive experience in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Keras. I leverage Python's ecosystem for building end-to-end machine learning pipelines, developing neural networks, and creating scalable AI applications. Proficient in NumPy, Pandas, and other scientific computing libraries for data manipulation and analysis.

(2)

Machine Learning

Specialized in developing and deploying machine learning models including supervised, unsupervised, and reinforcement learning algorithms. Experienced in feature engineering, model selection, hyperparameter tuning, and performance optimization. I build predictive models for classification, regression, clustering, and recommendation systems using various ML techniques.

(3)

Deep Learning & Neural Networks

Proficient in designing and training deep neural networks including CNNs, RNNs, LSTMs, and Transformers. I specialize in computer vision, natural language processing, and sequence modeling. Experienced with transfer learning, fine-tuning pre-trained models, and building custom architectures for specific AI applications.

(4)

Data Engineering & MLOps

Skilled in building robust data pipelines and ML infrastructure. Experienced in data warehousing, ETL processes, and database management with SQL and NoSQL systems. I implement MLOps practices including model versioning, automated testing, continuous integration, and deployment pipelines for production-ready AI systems.

(5)

Computer Vision & NLP

Specialized in developing computer vision applications for image classification, object detection, and semantic segmentation. Expert in NLP tasks including text classification, sentiment analysis, named entity recognition, and language modeling. I work with OpenCV, Pillow, spaCy, NLTK, and Hugging Face transformers.

(6)

Cloud AI & Deployment

Experienced in deploying AI models on cloud platforms including AWS, Google Cloud, and Azure. Proficient in containerization with Docker, orchestration with Kubernetes, and serverless deployments. I build scalable AI APIs, implement model serving infrastructure, and ensure high availability for production AI systems.

(7)

AI Model Optimization

Expert in optimizing AI models for performance, efficiency, and scalability. Skilled in model compression techniques, quantization, pruning, and knowledge distillation. I optimize models for edge deployment, reduce inference time, and implement real-time AI solutions while maintaining accuracy and reliability.

(8)

Data Visualization & Analytics

Proficient in creating compelling data visualizations and interactive dashboards using tools like Matplotlib, Seaborn, Plotly, and Streamlit. I transform complex AI model outputs and data insights into clear, actionable visualizations for stakeholders, enabling data-driven decision making in AI projects.

(9)

AI Research & Innovation

Passionate about staying current with AI research and implementing cutting-edge techniques. I experiment with new architectures, read research papers, and adapt novel approaches to solve business problems. Experienced in A/B testing for AI systems, statistical analysis, and continuous model improvement.

My Experience

Here are some of my work experiences where I've turned challenges into accomplishments, making things happen.

Qucoon

March 2025 - Present

AI Engineer

Architected a 5-agent AI customer support system for fintech — Intent Classifier, Conversation Bot, Product Bot, Support Bot, and Escalation Agent. Built multi-step chain-of-thought workflows with Redis memory, concurrent async execution, and LLM response validation with automatic fallbacks. Also shipped a document Q&A system using RAG with confidence scoring and FastAPI REST APIs.

Independent

2024 - 2025

AI Engineer (Projects)

Built and deployed production AI systems including Dr. Amina (medical RAG chatbot for Northern Nigeria with 648 health documents), a fraud detection pipeline on 1M+ transactions, and ConfidenceAI — a live coaching platform powered by Google Gemini with explainable scoring.

Lagos State University

Aug 2021 - Jan 2025

B.Sc. Mathematics & Education

Studied mathematics with a focus on statistical modeling, linear algebra, and computational methods — the foundation that makes my ML work tick. Applied mathematical thinking to real-world data problems throughout my studies.

My

Projects

Image of Dr. Amina — AI Healthcare for Northern Nigeria

Dr. Amina — AI Healthcare for Northern Nigeria

Built a medical RAG chatbot that serves Northern Nigeria's underserved communities. Powered by Google Gemini and Pinecone (648 verified health documents), it detects emergencies with 80% confidence, supports Hausa voice input, and persists conversations via Supabase. Deployed live on Streamlit for the DataFest Africa 2025 Hackathon.

RAG
Google Gemini
Pinecone
Healthcare AI
Streamlit
Python
Vector Database
Deployed App
Image of Fighting Fraud with Machine Learning

Fighting Fraud with Machine Learning

Built a production-grade fraud detection system on 1M+ interbank transactions with a 0.3% fraud rate — no synthetic balancing tricks. Engineered 38 behavioral features, trained interpretable models (Logistic Regression → Random Forest), and used SHAP to make every flagged transaction explainable to analysts and regulators.

Fraud Detection
Random Forest
SHAP
Feature Engineering
Python
Scikit-learn
Imbalanced Learning
Image of AI-Powered Sentence Completion for Video Game Narratives

AI-Powered Sentence Completion for Video Game Narratives

What happens when you train an NLP model on video game scripts and lore? It starts writing like one. Built a sentence completion engine using TF-IDF + Naive Bayes with emotion-aware generation — give it "the hero must" and it'll finish the thought in the right narrative tone. Hand-curated the dataset with emotional annotations and deployed a live Streamlit demo.

NLP
Text Generation
Scikit-learn
TF-IDF
NLTK
Python
Streamlit
Creative AI
Image of Digital Lending E-Sign Prediction System

Digital Lending E-Sign Prediction System

Built an end-to-end ML system that predicts whether loan applicants will complete electronic signing — a real bottleneck in digital lending. Engineered features like income-to-loan ratios and composite risk scores, trained a deployable logistic regression model, and exported it as a .pkl file ready for production integration.

Fintech
Predictive Modeling
Scikit-learn
Feature Engineering
Python
Model Deployment
Logistic Regression
Image of Sign Language Hand Gesture Recognition with CNN

Sign Language Hand Gesture Recognition with CNN

Trained a convolutional neural network to classify 25 American Sign Language hand gestures at 99.75% accuracy. Tackled overfitting head-on with dropout layers, data augmentation, and early stopping — then built a Flask web app so anyone can test it with their own images.

Deep Learning
Computer Vision
CNN
TensorFlow
Flask
Image Classification
Accessibility
Image of Bike-Sharing Optimization & Anomaly Detection

Bike-Sharing Optimization & Anomaly Detection

Used SQL to reverse-engineer a bike-sharing system's operations — predicting peak demand, spotting anomalies in rider counts and revenue, and finding the operational sweet spots where efficiency meets profitability. Built interactive Power BI dashboards so operations teams can actually see when and where to deploy bikes instead of guessing.

SQL
Power BI
Anomaly Detection
Predictive Modeling
Data Analytics
Image of Market Basket Analysis & Collaborative Filtering

Market Basket Analysis & Collaborative Filtering

Explored what customers buy together and why — using market basket analysis to find purchasing patterns, then item-based collaborative filtering to generate personalized recommendations for the Bronze customer segment. The goal was turning raw transaction logs into "customers who bought X also bought Y" intelligence that a retail team can act on.

Python
Recommendation Systems
Market Basket Analysis
Pandas
Scikit-learn
Jupyter Notebook
Image of Data Predictive Insights ETL Pipeline

Data Predictive Insights ETL Pipeline

Built a full ETL pipeline that pulls powerlifting competition data, transforms it through Python, and loads it into PostgreSQL for analysis. Connected the whole thing to Power BI for interactive dashboards — turning raw Kaggle data into something a coach or athlete could actually use to spot trends in squat, bench, and deadlift performance.

Python
PostgreSQL
ETL
Power BI
Data Engineering
Jupyter Notebook
Image of Bank Marketing Campaign Prediction

Bank Marketing Campaign Prediction

Dug into bank marketing campaign data to figure out which customers are actually worth calling. Built predictive models that cut through demographics, financial history, and past campaign interactions to identify high-conversion prospects — so marketing teams stop wasting calls on people who were never going to say yes.

Python
Machine Learning
Scikit-learn
Feature Engineering
Data Analysis
Jupyter Notebook
Image of Factor Analysis & Linear Regression on Perfectionism Data

Factor Analysis & Linear Regression on Perfectionism Data

Applied exploratory factor analysis to a psychology dataset on perfectionism dimensions — reducing a complex web of survey responses into meaningful latent factors. Then used linear regression to model how those hidden factors predict real outcomes. The kind of statistical detective work that turns messy behavioral data into clear, actionable patterns.

Factor Analysis
Linear Regression
Statistical Modeling
Jamovi
Behavioral Data

Contact Me

Have a question or want to work together? Send me a message using the form.

© 2026 Afolabi Olawale. All rights reserved.