Professional Overview
AI/LLM integration engineer specializing in prompt engineering & tool-calling. Built a full Groq LLM pipeline for a Flutter AI robot: intent classification, native function-calling schemas, token-cost optimization validated via real API tests. Also ship on-device ASR (ONNX) and voice-to-action automation.
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.
