Professional Overview
I am a PhD-level machine learning engineer and researcher specializing in natural language processing (NLP), Transformers, large language models (LLMs), and diffusion models. Through hands-on projects, I have developed strong expertise in statistical methods and machine learning algorithms, applying them to build and evaluate practical AI solutions
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Analyzed speckle statistics using histograms and image features.
- Trained U-Net models to reconstruct images from speckle patterns.
- Processed and augmented multimode-fiber imaging datasets.
- Applied computer-vision techniques to improve image quality.
- Built a GUI for speckle-image decoding and reconstruction.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Led exploratory data analysis and data preparation for an EU-funded project
- Built Transformer-based NLP models to translate written text into sign-language
- Trained and adapted a LoRA fine-tuned diffusion model for sign-language video
- Integrated NLP and computer-vision components into an end-to-end tool
- Evaluated model outputs, architecture, and generation quality
Education
Field of Study: Machine Learning and Deep Learning
Field of Study: Machine Learning In Science
Field of Study: Mechanical Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
