Professional Overview
Analytical AI Quality Analyst and Data Professional with experience in LLM evaluation, RLHF-aligned evaluation, AI product QA, data analysis, prompt engineering, machine learning, and business intelligence. Experienced in evaluating AI systems for grounding, relevance, personalization, factual accuracy, usability, and response quality through structured multi-turn testing, red-teaming, and evidence-based assessment with strong attention to detail. Proficient in Python, SQL, Power BI, Tableau, machine learning, NLP, and statistical analysis, with hands-on experience transforming complex datasets into actionable insights. Strong track record of identifying quality gaps, designing evaluation scenarios, improving reporting efficiency, and collaborating cross-functionally across technical and QA workflows.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
