Professional Overview
Focused on leveraging technology to enhance the user experience and improve human lives. Equipped with proven expertise in leading cross-disciplinary teams to enhance data accuracy, project efficiency, and stakeholder satisfaction. Experienced in managing the lifecycle of ML initiatives, including data annotation, quality control, and model optimization. Skilled in fostering collaborations across technical and non-technical teams to innovate and improve operational processes and outcomes. Solid record of supporting strategic partnerships and delivering tailored AI solutions that meet rigorous standards and drive significant advancements in machine learning applications.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
