Professional Overview
Generative AI Platform Engineer with 4 years building and operating production-grade LLM, NLP, and RAG systems at enterprise scale. Expertise spans RAG pipelines, Agentic AI workflows, Model Context Protocol (MCP), and low-latency LLM inference, with a strong foundation in Python microservices and cloud-native architecture on AWS Bedrock and Azure
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
