Professional Overview
AI Engineer with a strong foundation in machine learning, generative AI, and intelligent system development. Experienced in designing, building, and deploying AI-powered applications that leverage Large Language Models (LLMs), natural language processing, predictive analytics, and workflow automation to solve real-world problems.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Integrate Claude API and RAG for document intelligence and analysis
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Implement AI solutions using Twillio API and Mapbox to locate emergency location
AI Expertise
Skills
Employment Type
Education
Field of Study: Software Engineering and Machine Learning
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
