Professional Overview
I'm an AI Engineer with 8+ years in enterprise technology and 2+ years building LLM-powered applications. After completing my MSc in AI, I've focused on RAG, prompt engineering, AI evaluation and scalable AI solutions. I'm driven to build reliable, useful AI that solves real-world problems while helping teams adopt AI responsibly and effectively.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Delivered secure, production-ready AI solutions with cross-functional teams
- Designed production AI solutions using LLMs, RAG and vector databases.
- Built scalable AI workflows with prompt engineering and LLM orchestration.
- Built scalable REST APIs in Python and Flask for enterprise AI solutions.
- Delivered AI governance, auditing and responsible AI controls.
Key Achievements / KPIs
- Reduced LLM evaluation effort by 60% through automation.
- Improved RAG response accuracy by 32% using semantic retrieval.
- Reduced AI hallucinations by 45% with guardrails and RAG.
- Increased AI workflow throughput by 5x via model orchestration.
Education
Field of Study: Artificial Intelligence
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 Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
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.
