Projects
Reproducibility studies, research prototypes and things I’ve built.
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RE-UltraBreak: Universal Jailbreak Attacks on VLMs
A reproducibility study of UltraBreak: universal, cross-model image jailbreaks against black-box VLMs, using randomised image transformations and loss relaxations to maximise transferability.
Jun 2026 – Aug 2026 · Adversarial ML, VLM security
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VLM Hallucination Mitigation via Self-Verification Decoding
A decoding-time framework that enforces strict textual grounding to reduce visual hallucinations, validated on the POPE and CHAIR benchmarks.
Jun 2025 – Sep 2025 · VLMs, decoding
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Reproducibility Study: Diffusion Models Beat GANs
Replicated OpenAI’s unconditional U-Net and noise-robust classifier to implement classifier guidance, and validated that scaling classifier gradients trades sample diversity for visual fidelity.
Aug 2025 – Sep 2025 · Diffusion models
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Adobe Photo Editor
Context-aware background removal, style transfer and typographic editing, with MobileSAM optimised through ONNX Runtime and INT8 quantisation for real-time edge deployment.
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InVisionDX: CNN-Based Disease Detection
A web app that detects COVID-19, pneumonia, tuberculosis, lung cancer and Alzheimer’s disease from medical images with ResNet and VGG16, at over 95% classification accuracy.
Mar 2025 – Apr 2025 · PyTorch, Flask
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HireSense
An open-source NLP tool that uses fine-tuned named-entity recognition to parse resumes and match candidates to job descriptions.
Python, NER, NLP