Professional Overview
A biomedical engineer turned aspiring AI product leader, driven by a deep passion for transforming healthcare through intelligent technology. With hands-on experience in regulatory strategy, diagnostic device design, and cross-functional collaboration, this profile bridges clinical insight with technical innovation. Skilled in Python, deep learning (CNNs, ENet), and agile product development, with a track record of translating user needs into actionable solutions. Recent work includes building AI models for heart failure classification and reimagining point-of-care systems for faster, more accurate diagnostics. Currently advancing expertise through formal training in AI for Digital Health & Imaging, with a strong focus on ethical, user-centric, and data-driven design. Excited to shape the future of healthcare by building intelligent products that are both scalable and meaningful.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
