Professional Overview
AI Engineer specializing in LLM applications, RAG systems, AI agents, and Machine Learning. Experienced in Python, PyTorch, Transformers, and AI development workflows, with additional skills in data preprocessing, dataset preparation, AI model evaluation, and data annotation.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed LLM-powered applications using Python and modern AI frameworks.
- Built RAG pipelines for document retrieval and context-aware responses.
- Designed AI agents and multi-step workflows using LangGraph.
Education
Field of Study: Artificial intelligence
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.
