Professional Overview
AI Engineer focused on turning LLM ideas into working products—building RAG pipelines, LangGraph agents, multi-agent workflows and MCP-powered tools with Python, LangChain, FastAPI and modern LLM APIs. I enjoy working with teams from prototype to deployment, debug real-world problems and learn whatever technologies are needed to ship effectively.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
