Aerodynamic Shape Optimisation with Deep Learning
Surrogate deep learning model replacing computationally expensive CFD simulations for car aerodynamics shape optimisation. Trained on CFD-generated flow field data to predict drag …
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Selected Projects
LLM Fine-tuning & RAG Pipelines
Fine-tuning large language models using LoRA and QLoRA for domain-specific tasks, with retrieval-augmented generation (RAG) pipelines for grounded outputs. Evaluated and refined …
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Neural Radiance Fields (NeRF) for 3D Product Generation
NeRF-based 3D product visualisation pipeline built at Deep Design Systems. Combines neural radiance fields with diffusion model conditioning to generate photorealistic 3D …
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CT Organ Segmentation in Cancer Patients
Deep learning pipeline for 3D organ segmentation in oncology CT scans, used in clinical research at Radboud University Medical Center. Trained on large annotated datasets of cancer …
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EV Battery Cell Segmentation via CT
Automated 3D segmentation of lithium-ion battery cells from industrial CT scans, deployed in production at Nuctech. Pipeline built with TensorRT and ONNX for optimised inference, …
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