CV

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Contact Information

Name Ravidu Suien Rammuni Silva
Professional Title PhD Candidate in AI & Hourly Paid Lecturer
Email [email protected]

Professional Summary

Doctoral researcher in Artificial Intelligence and Hourly Paid Lecturer in Computer Science at Nottingham Trent University, with over two years of commercial experience designing, building, and deploying production AI systems across healthcare, manufacturing, and property technology. Research focuses on generative AI, LLM post-training (SFT, GRPO reinforcement learning) and agentic inference for personalised education, alongside explainable AI (XAI) and computer vision.

Experience

  • 2025 - Present

    Nottingham, UK

    Hourly Paid Lecturer
    Nottingham Trent University, Department of Computer Science
    Teaching undergraduate and degree-apprenticeship modules alongside doctoral research.
    • Year 1 UG: C++ Programming, Mathematics for Computing.
    • Year 2 UG: Database Engineering, Software Design and Implementation.
    • BSc Apprenticeship: Data Science Systems Analysis and Design.
  • 2023 - 2024

    Bristol, UK

    Software Engineer (Placement)
    Ensera Design (formerly Kinneir Dufort)
    Postgraduate placement delivering software and AI projects for multinational clients, primarily in healthcare.
    • AI-assisted breast cancer diagnosis (Python, PyTorch, FastAPI): Built the back end deploying a CNN model with a focus on architecture and explainability.
    • AI natural stone classifier (C#, .NET, WinUI 3, C++): Developed an MVVM Windows 11 IoT kiosk application with an SVM classifier, deployed across 80 kiosks.
    • Generic driver library (C, C++, Python, CppUTest, STM32): Developed a reusable CRC calculation module with unit tests and a Python CLI release automation tool.
    • Online catalogue (ReactJS, TypeScript, SharePoint): Built an internal management tool for a multinational healthcare client.
  • 2021 - 2022

    Colombo, Sri Lanka

    Engineer - AI Research & Technology
    BooleenLab
    Promoted from Associate Engineer within six months. Led the R&D team on commercial AI products for clients in the USA, UK, and Singapore.
    • HeHealth intelligent digital health platform (Python, PyTorch, Flask, AWS): Led back-end and database engineering across doctor/admin portals and mobile app; designed a semi-serverless AWS architecture and co-developed the CNN, saliency maps, and reasoning engine.
    • Inspective property inspection platform (Python, TensorFlow, Django, AWS): Led back-end development and deployed a custom defect-detection CNN on AWS.
    • Recommender system for fabrics and elastics (Python, PyTorch, FastAPI, AWS): Initiated and led R&D on fabric classification and recommendation for Stretchline.
  • 2021 - 2021

    Colombo, Sri Lanka

    AI Engineer - Intern
    Rootcode Labs
    • ConverseAI recruitment chatbot (Python, Rasa, FastAPI, AWS): Built a retraining pipeline with ~20s downtime for an award-winning product.
    • Intelligent CV parser (Python, PyTorch, NLTK, AWS): Contributed to training and retraining pipelines for structured CV extraction.

Education

  • 2024 - Present

    Nottingham, UK

    PhD
    Nottingham Trent University
    Computer Science
    • Theme: Leveraging Generative AI to enhance educational systems and deliver a personalised educational experience for transitional learners.
    • Expected completion: 2027.
  • 2022 - 2024

    Nottingham, UK

    MSc
    Nottingham Trent University
    Data Science (with Integrated Industrial Placement)
    • Award: Higher Distinction (GPA: 15.0 / 16.0).
    • Dissertation: ArtBrain: Explainable AI for Classification and Attribution of AI-Generated Art and Style.
  • 2016 - 2021

    London, UK

    BSc (Hons.)
    University of Westminster
    Computer Science
    • Award: First-Class Honours (81%).
    • Dissertation: Parallelised Deep Convolutional Neural Networks for Pathology Detection and Localisation in Chest X-Rays.
  • 2018 - 2021

    Kelaniya, Sri Lanka

    BSc
    University of Kelaniya
    Physics, Pure Mathematics and Electronics
    • Award: Second-Class Honours (GPA: 3.21 / 4.00).
    • Project: Facial Recognition based Door-Lock System.

Professional Activities

PGR Ambassador, NTU Department of Computer Science (12/2025 – Present): Represents postgraduate researchers in the NTU Computational Intelligence and Robotics Cluster (CIRC).
Student Ambassador and Student Outreach Ambassador, NTU (11/2022 – Present): Promoted higher education and STEM across Nottinghamshire schools and university open days.
Peer Reviewer (02/2020 – Present): IEEE Transactions on Multimedia (TMM), IEEE IJCNN, IEEE IROS, and IEEE FRUCT conferences.
Mobile Application Developer (10/2019 – 06/2020): Volunteer role at AIESEC International, Sri Lanka.

Skills

AI, Machine Learning & Data Science: PyTorch, TensorFlow, LLMs (SFT, LoRA/QLoRA, GRPO RL, Agentic Inference), Explainable AI (XAI), Computer Vision, CNNs
Programming & Software Engineering: Python, C++, C#, TypeScript/JavaScript, Java, Swift, FastAPI, Django, Flask, ReactJS, MVVM, Git, Docker
Cloud & Databases: AWS, GCP, Azure, PostgreSQL, MySQL, Serverless & Microservice Architectures

Certificates

  • Deep Learning Specialisation - Coursera (DeepLearning.AI) (2021)
  • Advanced Data Science Specialisation - IBM (2021)