Professional Overview
AI Engineer specializing in production-grade LLM architecture, agentic workflows, and real-time automation logic. I skip the prototype phase and build scalable AI systems designed for live operational workflows. From real-time RAG systems with semantic caching to multimodal document verification engines, my focus is always on measurable outcomes
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.
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.