Professional Overview
AI Engineer specializing in production-grade LLM systems, retrieval architectures, and multi-agent orchestration. Designed and deployed scalable RAG pipelines and Agentic AI systems across AWS and GCP. Strong expertise in structured LLM responses & evaluation, and end-to-end AI system design for SaaS platforms.
Experience
AI Expertise
Skills
Employment Type
Education
Field of Study: Data Science
Field of Study: Engineering
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
