Professional Overview
What I bring: LLM Evaluation · RLHF · SFT · Preference Ranking · Agentic AI Assessment Python · SQL · Deep Learning · NLP · Computer Vision · Power BI · Tableau Data Science Training · Curriculum Design · Live Instruction · Course Development AI Consulting · Enterprise Upskilling · Cross-functional Team Leadership
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Lead evaluation pod of 5 assessing LLM response quality across accuracy.
- Design RLHF and SFT workflows including preference ranking, rubric design.
- Build Python/SQL pipelines to analyse model output datasets at scale
- Present weekly quality metrics and trade-off decisions to cross-functional stake
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Evaluate and score outputs from Large Language Models (LLMs) to ensure accuracy
- Contribute to RLHF and SFT pipelines through structured feedback.
- Utilize programming languages such as Python, C++, and SQL to analyze datasets.
- Collaborate with cross-functional teams to improve workflows.
Education
Field of Study: Data Science, Data Analysis, Deep Learning, Python
Field of Study: Machine Learning, Deep Learning, Databases, Programming
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.
