Professional Overview
I am a computer engineer and researcher with over four years of experience working at the intersection of software engineering and natural language processing (NLP). Currently completing a PhD, I have contributed to several published studies in the field of NLP, with more under review.My core expertise lies in developing robust, well-documented machine learning tools and pipelines using Python, PyTorch, and Transformers, as well as full-stack applications with Next.js. I follow best practices in clean code, testing, version control, and API design.I have built tools to support research workflows, led experimentation processes, and contributed to both back-end systems and user-facing components. My work bridges research and engineering, with an emphasis on code quality, clarity, and reproducibility.I’m looking for remote opportunities with international teams where I can apply my skills in ML/NLP and contribute to building impactful, intelligent products.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
