Professional Overview
Computer Science undergraduate with experience in RLHF, AI model evaluation, prompt engineering, response ranking, data annotation, QA, Python, SQL, Git, computer vision, and ML. Skilled in guideline-based evaluation, accuracy validation, and high-quality AI training data creation.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
