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Published Machine Learning Research – SSTLNetwork: Advanced Neural Architectures for Spectral Reconstruction
SSTLNetwork: Advanced Neural Architectures for Spectral Reconstruction“Published in Spectrochimica Acta Part A, this peer-reviewed research introduces SSTLNetwork, a novel machine learning architecture designed to process complex near-infrared (NIR) imaging data. Traditional spectral analysis often struggles with data scarcity and high noise. To solve this, I engineered a custom neural network leveraging Self-Supervised Learning (SSL) and Hybrid Attention
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Portfolio – Case Study – High Fidelity Material Modelling with Flux LoRA
In generative fashion pipelines, foundation models (like FLUX.1) excel at anatomical accuracy but struggle with highly specific, textured fabrics—often defaulting to generic noise. The goal of this sprint was to build a robust conditioning pipeline to enforce a complex, heavy-weight Scottish tweed texture across multiple garment silhouettes without compromising the model’s structural logic.
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About
I am a Generative AI Technologist and PhD Researcher combining deep machine learning expertise with hands-on software architecture. Whether I am fine-tuning diffusion models in ComfyUI, building automated agentic workflows, or leading product strategy for SaaS platforms, my focus is always on engineering precise, high-impact technical solutions