Olajumoke Taiwo

Full-Stack Data Scientist & AI Engineer

Transforming complex data into strategic insights through advanced machine learning, full-stack development, and scalable cloud solutions. Passionate about solving real-world problems in sustainability, public health, and social impact through end-to-end data science.

About Me

Multidisciplinary Professional & Entrepreneur

With over 4 years of experience spanning Data Science, Machine Learning, Full-Stack Software Development, and Public Health, I specialise in building production-ready, cloud-native platforms that leverage advanced analytics and AI to drive strategic decision-making.

My expertise combines strong technical skills with research, business strategy, and consultancy experience. I'm passionate about creating AI-driven solutions that make a meaningful impact in sustainability, healthcare, and social good through comprehensive data engineering and full-stack development approaches.

4+
Years Experience
20+
Projects Completed
3
Business Ventures
1
Publication

Skills & Expertise

AI & Machine Learning

Deep Learning NLP Computer Vision PyTorch TensorFlow LangChain XGBoost Time Series Analysis LLMs & Transformers (BERT, GPT, Claude, etc.) Recommendation Systems RAG

Software Development

Python JavaScript Next.js Tailwind CSS Material UI React FastAPI Flask Django Node.js SQL Docker Git

Data Engineering & Big Data

Apache Spark Kafka Hadoop PySpark Apache Airflow ETL Pipelines PostgreSQL MySQL MongoDB Data Warehousing

Cloud & DevOps

AWS GCP Firebase Docker Kubernetes GitHub Actions Serverless Cloud Functions AWS Sagemaker

Data Science & Analytics

Statistical Analysis Data Visualization Power BI SPSS R Tableau MLflow Kubeflow A/B Testing Predictive Modeling

Specialised Domains

Public Health Sustainability LCA GIS Epidemiology ESG Analytics Carbon Footprinting

Professional Experience

Full Stack Data Scientist

Panthalassa
Mar 2025 - Present

Data Science & ML:

  • Sole ML developer on carbon emissions project, developed multi-model ensemble forecasting system combining Linear Regression and XGBoost with 95% time reduction in assessment workflows
  • Built LSTM time-series models for air quality monitoring analyzing PM2.5, NO2, and O3 levels with predictive forecasting capabilities
  • Architected deep neural network feature engineering pipeline using TensorFlow processing 15+ carbon accounting variables

Software Engineering & Infrastructure:

  • Built full-stack application using React 18 frontend, FastAPI backend, and PostgreSQL database to automate environmental impact calculations
  • Achieved 99.9% uptime with Docker containerization and GitHub Actions CI/CD pipeline
  • Implemented Blue-Green deployment strategy enabling zero-downtime releases
  • Created Streamlit dashboards with Folium geospatial mapping for real-time environmental monitoring

For a complete overview of my experience, technical skills, and achievements, please download my comprehensive resume.

View Resume

Featured Projects

DendriteAI

AI-powered knowledge management tool for intelligent document querying and organizational knowledge search with semantic analysis.

RAG Pinecone Cloud Functions OpenAI JavaScript (React)

MindWave

AI-powered mental health platform using deep learning for emotion detection and cognitive state analysis from brainwave data.

PyTorch React BERT GPT-3.5

Carbon Footprint Platform

Enterprise platform for forecasting GHG emissions using activity data and AI models with scenario simulations and accuracy scoring.

FastAPI Prophet PostgreSQL Docker

SkinIQ

Computer vision and ML-based skin analysis system providing personalised skincare recommendations through image recognition algorithms.

CNN TensorFlow MongoDB Flask

JobSeekers Hub

AI-powered career platform with CV/cover letter generation, job matching algorithms, and productivity tracking for job seekers.

React Firebase GPT Material-UI

Manes and Manis

Full-stack booking and payment system for a local hair and nail salon with integrated Stripe payment processing and appointment management.

React Node.js Stripe MongoDB

Research & Publications

Emotion-Aware Psychological First Aid: Integrating BERT-based Emotional Distress Detection with PFA-GPT Chatbot for Mental Health Support

Cognitive Computation and Systems Journal

This study presents a novel approach to combining emotional distress detection with automated psychological support, utilising deep learning models to improve mental health interventions. The research demonstrates the integration of BERT-based emotion detection with GPT-powered conversational AI for providing psychological first aid.

BERT GPT Mental Health NLP Emotional AI Psychological First Aid

Consulting Services

🤖

AI & Machine Learning Solutions

End-to-end AI solution development including deep learning models, NLP systems, computer vision applications, and recommendation engines. From research to production deployment with strategic AI consulting and implementation guidance.

  • Custom ML model development
  • RAG system implementation
  • Model deployment & MLOps
  • AI strategy consulting
  • Technology roadmap planning
💻

Full-Stack Software Development

Complete web and mobile application development using modern frameworks and technologies. From frontend interfaces to backend APIs and database design.

  • React & React Native applications
  • Backend API development (FastAPI, Flask, Django)
  • Database design & optimisation
  • Cloud deployment & DevOps
  • E-commerce & SaaS platforms
📊

Full-Stack Data Science

Complete data science solutions from data collection to interactive dashboards. Combining statistical analysis, predictive modelling, and modern web development.

  • Data pipeline development
  • Statistical analysis & forecasting
  • Interactive dashboard creation
  • Data visualisation & storytelling
🏥

Public Health Data Science

Healthcare and public health analytics including epidemiological modelling, health intervention evaluation, and population health insights.

  • Epidemiological modelling
  • Health intervention evaluation
  • Population health analytics
  • Clinical data analysis

Let's Connect

Ready to collaborate on your next AI, data science, or full-stack development project? Let's discuss how we can create impactful solutions together.

📍 United Kingdom
Start a Conversation

MindWave

MindWave is an innovative AI-powered mental health platform that leverages deep learning for real-time emotion detection and cognitive state analysis from brainwave data. The system provides personalised mental health insights and recommendations through advanced neural networks.

Architecture & Technology Stack

  • Frontend: React.js with modern UI/UX design principles
  • Backend: FastAPI for high-performance API development
  • ML Models: BERT for emotion classification, GPT-3.5 for conversational AI
  • Data Processing: Real-time brainwave signal processing with LSTM networks
  • Database: PostgreSQL for structured data storage
  • Deployment: Cloud-native architecture with containerization

Carbon Footprint Platform

A comprehensive enterprise platform for forecasting Greenhouse Gas (GHG) emissions using advanced activity data and AI models. The system provides scenario simulations, accuracy scoring, and detailed environmental impact assessments for sustainable business practices.

Architecture & Technology Stack

  • Frontend: React.js with interactive dashboards and data visualization
  • Backend: FastAPI for scalable API development and real-time processing
  • ML Models: Prophet for time-series forecasting, XGBoost for regression
  • Data Processing: RAG (Retrieval-Augmented Generation) for enhanced insights
  • Database: PostgreSQL for robust data storage and querying
  • Deployment: Docker containerization with CI/CD pipeline

SkinIQ

SkinIQ is a comprehensive computer vision and machine learning-based skin analysis system that provides personalised skincare recommendations through advanced image recognition algorithms. The platform analyses skin conditions and offers tailored treatment suggestions.

Architecture & Technology Stack

  • Frontend: Streamlit for rapid web application development
  • Backend: Python-based API with Flask framework
  • ML Models: CNN (Convolutional Neural Networks) for image classification
  • Computer Vision: TensorFlow for deep learning image processing
  • Database: MongoDB for flexible document storage
  • Deployment: Streamlit Cloud for seamless deployment

JobSeekers Hub

JobSeekers Hub is an AI-powered career platform that revolutionizes the job search process through intelligent CV/cover letter generation, advanced job matching algorithms, and comprehensive productivity tracking for job seekers.

Architecture & Technology Stack

  • Frontend: React.js with Material-UI for modern, responsive design
  • Backend: Firebase for scalable cloud infrastructure
  • AI Integration: GPT models for intelligent content generation
  • Authentication: Firebase Auth for secure user management
  • Database: Firestore for real-time data synchronization
  • Deployment: Vercel for seamless frontend deployment

DendriteAI

DendriteAI is a comprehensive knowledge management and productivity platform that transforms how you organise, process, and interact with your information. Built with modern web technologies, it combines powerful AI capabilities with intuitive document management to create a seamless workflow for professionals and teams.

Core Features & Technology Stack

  • Smart Document Processing: Upload and extract text from PDFs, Word documents, Excel spreadsheets, PowerPoint presentations, and CSV files
  • AI-Powered Chatbot: Interact with your knowledge base through natural language conversations using RAG (Retrieval-Augmented Generation)
  • Audio Recording & Transcription: Record meetings and conversations with automatic transcription using OpenAI's Whisper API
  • Task Management: Create, organise, and break down tasks with AI assistance
  • Technology Stack: React.js frontend, Firebase Cloud Functions backend, Firestore database, OpenAI GPT models, Anthropic Claude, and Pinecone vector database
  • Real-time Collaboration: Cloud-based platform with Firebase backend ensuring your data is secure, synchronised, and accessible from anywhere

Manes and Manis

Manes and Manis is a comprehensive booking and payment system designed specifically for a local hair and nail salon. The platform streamlines appointment scheduling, payment processing, and customer management through an intuitive interface with integrated Stripe payment processing.

Architecture & Technology Stack

  • Frontend: React.js with modern UI/UX design for seamless user experience
  • Backend: Node.js with Express.js for robust API development
  • Payment Processing: Stripe integration for secure payment handling
  • Database: MongoDB for flexible document storage and real-time updates
  • Authentication: JWT-based user authentication and session management
  • Deployment: Cloud-based hosting with responsive design for mobile compatibility