Hi, I'm Tony Livins.

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Passionate about exploring data and intelligent systems through academic and research projects. From healthcare to enterprise data science, I develop scalable and ethical solutions in a research context that advance knowledge and contribute to responsible technology development.

About

Who I Am

I’m Tony Livins, an AI Engineer and Data Scientist trained in Applied Artificial Intelligence & Data Science (MSc), with a BSc (Hons) in Computing, based in the United Kingdom.

I work at the intersection of machine learning, multimodal deep learning, and explainable AI, with a clear focus on building systems that are not only powerful, but understandable, auditable, and responsible.

I don’t believe intelligence should be opaque.
Systems that affect human lives must be interpretable, accountable, and designed with intent.

My work spans healthcare AI, data science, and research-driven engineering, where I design models that integrate images, structured data, and language into coherent decision-making pipelines.

Faith

I am a Christian, and I follow Jesus ✝️.
My faith comes first and shapes how I live, lead, and work, grounding my approach to technology in truth, humility, integrity, and service to others.

Flagship Research Project
LungGuard- Multimodal AI for Early Lung Cancer Detection

LungGuard is a research-grade multimodal deep learning system designed to support early lung cancer detection using-

  • Chest X-ray imaging
  • Structured clinical and demographic data
  • Unstructured medical text

The system implements early, late, and hybrid fusion strategies, combined with Grad-CAM and SHAP explainability techniques to ensure clinical transparency and trust.

This work reflects my core belief: high-performance AI must remain interpretable when deployed in high-stakes domains.

How I Think About AI
  • Performance without understanding is risk.
  • Explainability is not optional in human-impact systems.
  • Models should justify decisions, not just output predictions.
  • Good research balances theory, implementation, and ethics.

These principles guide my research, writing, and system design.

Technical Stack

    Core programming languages for AI systems and production pipelines.

    Python
    Java
    JavaScript
    C
    C++
    HTML/CSS
    Bash
    R
    SQL
    Markdown
    PlantUML

    Relational, NoSQL, graph, and cloud-scale data platforms.

    MySQL
    SQLite
    PostgreSQL
    MongoDB
    Neo4j
    Firebase
    AWS S3
    BigQuery
    Elasticsearch

    Classical ML, deep learning, NLP, and explainable AI.

    NumPy
    Pandas
    OpenCV
    scikit-learn
    Statsmodels
    PyTorch
    TensorFlow
    Keras
    XGBoost
    LightGBM
    Transformers
    SpaCy
    NLTK
    SHAP
    LIME
    Grad-CAM

    Experiment tracking, deployment, analytics, and reproducible workflows.

    Git
    Docker
    AWS
    GCP
    Heroku
    JIRA
    MLflow
    Jupyter
    Google Colab
    VS Code
    PyCharm
    Linux CLI
    Streamlit Cloud
    Hugging Face Spaces
    Tableau
    Power BI
    LaTeX
    Overleaf
    Core Competencies
    Machine Learning & AI

    Supervised and unsupervised learning, multimodal learning, NLP, explainable AI.

    Data Visualisation & Analytics

    Tableau, Power BI, and Python dashboards for insight and communication.

    Cloud Deployment

    AWS, Dockerised services, and deployment-focused workflows.

    Responsible AI

    Interpretability, bias awareness, and ethical design principles.

    Specialist Expertise
    Multimodal Fusion

    Image, text, and tabular fusion pipelines.

    Explainable AI

    SHAP, Grad-CAM, and transparent evaluation.

    Biomedical NLP

    Domain adaptation and clinical text modelling.

    I aim to contribute to research and innovation that bridge data-driven intelligence, ethical AI, and human-centred design. My long-term goal is to drive progress in artificial intelligence through rigorous research, technical excellence, and measurable real-world impact.

    People First

    A person embracing the Earth, symbolising care for humanity and the planet

    “I love the Earth, I love people, and I’m committed to using my skills to create positive change and make a meaningful difference in people’s lives.”

    handwritten signature

    Tony Livins

    Projects & Research

    AI, Data & Software Projects

    I explore and develop innovative digital solutions in AI, data science, and software engineering for academic and research purposes. My projects focus on creating reliable, scalable, and intelligent systems that demonstrate technical proficiency and practical applications. Based in the UK, I collaborate with peers, researchers, and academic partners to build projects that are insightful, technically robust, and contribute to learning and research in the field.

    AI & Data Science Projects
    • Predictive Modelling & Machine Learning: Develop models for research that forecast trends, risks, and opportunities using Python, TensorFlow, PyTorch, and scikit-learn.
    • Natural Language Processing (NLP): Build text analytics systems and document classifiers for academic projects in healthcare, business, and research.
    • Computer Vision: Implement image recognition and medical imaging solutions, e.g., LungGuard – multimodal lung cancer detection.
    • Data Analytics & Visualisation: Design interactive dashboards in Tableau, Power BI, or Streamlit for research insights.
    • Explainable AI: Integrate Grad-CAM and SHAP for transparent and interpretable machine learning systems.
    Web, Mobile & Software Projects
    • Full-Stack Web Applications: Develop robust applications using Python (Flask/Django), Node.js, React, and Next.js for academic or personal projects.
    • Mobile Applications: Build cross-platform apps with React Native for iOS and Android as research or learning projects.
    • Cloud & API Development: Deploy applications on AWS, Firebase, or Docker for research-focused projects, integrating RESTful and GraphQL APIs.
    • Process Automation: Create software to automate workflows for research experiments and data handling.
    Collaborative Learning & Research

    I collaborate with peers, mentors, and academic partners on additional research initiatives and technical projects, including:

    • Website development & academic portfolios
    • UI/UX design & prototyping for research interfaces
    • Content creation & technical writing for educational purposes
    Connect With Me

    I welcome discussions on research collaborations, academic projects, and learning opportunities. Feel free to reach out to explore ideas, share insights, or discuss potential collaborations in a strictly academic or research context.

    Projects

    music streaming app
    Book-Recommendation-Engine-using-KNN

    Book-Recommendation-Engine-using-KNN

    Accomplishments
    quiz app
    Cat and Dog Image Classifier

    Accomplishments
    Screenshot of web app
    Neural-Network-SMS-Text-Classifier

    Accomplishments
    Screenshot of  web app
    Linear Regression Health Costs Calculator

    Accomplishments
    Screenshot of  web app
    Rock-Paper-Scissors

    Accomplishments
    Screenshot of  web app
    SHA-1-Password-CrackerPassed

    Accomplishments
    Screenshot of  web app
    Exercise Tracker

    Accomplishments

    Books

    I write books on Artificial Intelligence, with a focus on explainability, responsible AI, and the relationship between intelligence and consciousness. My goal is to clarify what modern AI can do, what it cannot do, and why those limits matter for real-world decision-making in society.

    Visit my Amazon Author Central profile

    Explainable AI

    Transparency, Accountability, and the Limits of Machine Learning

    Explainable AI book cover by Tony Livins. A book about explainable artificial intelligence, transparency, and responsible AI.

    A structured exploration of modern AI, focusing on explainability, transparency, and why understanding AI limitations is essential for trustworthy deployment.

    Topics- Explainable AI, transparency, AI limitations, responsible AI, ethics

    Download citation (BibTeX)

    Intelligence Is Not Consciousness

    What AI Can Do, What It Can't, and Why That Distinction Will Define The Future

    Intelligence Is Not Consciousness book cover by Tony Livins. A book about AI consciousness, philosophy of mind, and the limits of computation.

    A clear boundary between computation and subjective experience, addressing misconceptions that intelligence automatically implies consciousness.

    Topics- AI and consciousness, limits of computation, cognition

    Download citation (BibTeX)

    Skills

    Languages and Databases

    Python
    HTML5
    CSS3
    MySQL
    PostgreSQL
    Shell Scripting

    Libraries

    NumPy
    Pandas
    OpenCV
    scikit-learn
    matplotlib

    Frameworks

    Django
    Flask
    Bootstrap
    Keras
    TensorFlow
    PyTorch

    Other

    Git
    AWS
    Heroku

    Education

    Solent University

    Southampton, United Kingdom


    Degree: MSc in Applied Artificial Intelligence and Data Science


    Grade Achieved: DISTINCTION (Highest Classification)


    Rankings: Ranked #58 in the UK by The Guardian University Guide 2026 and among the top 130 UK universities overall.

    Solent University

    Southampton, United Kingdom


    Degree: BSc (Hons) in Computing


    Grade Achieved: 2:1 (First Division)


    Rankings: Same as above.

    Mar Ivanios College

    Trivandrum, India


    Rankings: Ranked #45 in India by the Ministry of Education’s National Institutional Ranking Framework (NIRF 2023); consistently among the top autonomous colleges in Kerala.

    ST. Thomas Higher Secondary School

    Trivandrum, India


    Level: Higher Secondary (Kerala State Board)


    Grade Achieved: 72%


    Note: Recognised among the top higher secondary schools in Kerala for academic performance.

    St. Thomas Residential School

    Trivandrum, India


    Level: ICSE

    Grade Achieved: Merit


    Rankings: Kerala’s No. 1 co-educational boarding school (EducationWorld); ranked 2nd in Kerala and 33rd in India among CISCE schools.

    Contact

    Faith & Values

    Faith Philosophy

    My faith comes first. It shapes how I live, how I lead, and how I build. I believe truth matters, integrity matters, and service matters. Worship resets my perspective and reminds me that success is never the point. Becoming like Christ is the point.

    • Christ first- I submit my plans to God.
    • People first- I lead with humility and love.
    • Excellence- I work diligently as an act of worship.
    • Integrity- I do the right thing when nobody is watching.

    These songs are part of my daily reset.

    My Worship Song

    Worship that renews strength and recenters the heart.

    Song 2 – Worship

    A reminder that worship recenters the heart and restores clarity.

    Song 3 – Worship

    Worship that renews the spirit and strengthens conviction.

    Song 3 – Worship

    Worship that restores focus and strengthens faith.

    Song 5 – Worship

    Worship that renews strength and deepens conviction.

    Song 6 – Worship

    Worship that restores clarity and strengthens faith.

    Music

    LISTEN

    Official releases by Tony Livins. Click an album to play.

    All songs written, composed, and produced by Tony Livins.

    Games

    Best played on desktop with a keyboard. Fullscreen recommended.
    Support the original creators.