Professional Overview
I have around two years of experience working with Turing, focusing on AI data operations, LLM evaluation, data quality, and AI response assessment. I have worked on projects involving leading AI clients, including Google, Meta, and OpenAI, evaluating and ranking AI-generated responses, validating data accuracy, identifying inconsistencies, and providing structured feedback to improve model performance. I also have experience with prompt engineering, human-in-the-loop workflows, and quality assurance. I am familiar with Python, SQL, Excel, and data analysis concepts, and I enjoy using data to identify patterns, solve problems, and support informed decision-making. I am eager to apply my analytical and technical skills to real-world AI and data projects while continuing to learn and grow professionally.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
