BSc (Hons) Computer Systems Engineering graduate from the University of Sunderland (2:1), with a strong foundation in software engineering, web development, AI, deep learning, and cybersecurity. Hands-on through academic projects, including a Higher National Diploma in Software Engineering. Proficient in Python, JavaScript (ES6+), HTML, CSS, SQL and Git, with experience building machine learning models, responsive web applications, and security-focused solutions. Passionate about learning new technologies and contributing to collaborative software engineering teams in the UK.

NALINA THENNAKOO

BSc (Hons) Computer Systems Engineering graduate from the University of Sunderland (2:1), with a strong foundation in software engineering, web development, AI, deep learning, and cybersecurity. Hands-on through academic projects, including a Higher National Diploma in Software Engineering. Proficient in Python, JavaScript (ES6+), HTML, CSS, SQL and Git, with experience building machine learning models, responsive web applications, and security-focused solutions. Passionate about learning new technologies and contributing to collaborative software engineering teams in the UK.

Available to hire

BSc (Hons) Computer Systems Engineering graduate from the University of Sunderland (2:1), with a strong foundation in software engineering, web development, AI, deep learning, and cybersecurity. Hands-on through academic projects, including a Higher National Diploma in Software Engineering.

Proficient in Python, JavaScript (ES6+), HTML, CSS, SQL and Git, with experience building machine learning models, responsive web applications, and security-focused solutions. Passionate about learning new technologies and contributing to collaborative software engineering teams in the UK.

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Language

Work Experience

Graduate Software Engineer Intern (AI/DL & Object Detection) — University Project at University Project
March 1, 2026 - June 30, 2026
Developed CNN-based models for handwritten digit recognition and evaluated performance using metrics such as Precision, Recall, IoU and mAP. Achieved approximately 99% test accuracy on the MNIST dataset. Implemented Faster R-CNN for object detection using the KITTI dataset, and assessed model quality with standard detection metrics including Precision, Recall, IoU and mAP. Built and evaluated explainable AI loan approval prediction models using Python.
Network Security Management & ISMS — University Project at University Project
December 1, 2025 - February 28, 2026
Produced a security management proposal for a ransomware scenario. Designed security controls including firewall, VPN, MFA, and disaster recovery planning. Applied information security management principles and risk assessment techniques.

Education

BSc (Hons) Computer Systems Engineering at University of Sunderland
September 1, 2022 - June 30, 2026

Qualifications

Higher National Diploma (HND) in Software Engineering
September 1, 2023 - May 31, 2025

Industry Experience

Software & Internet, Computers & Electronics, Education, Professional Services