Professional Overview
I have worked extensively on production-oriented LLM and Agentic AI workflows, particularly around agent evaluation, tool-use traces, reliability, and LLM data quality. In my current work with Turing on an Agentic AI/LLM project, I have analyzed and improved agent traces involving multi-step reasoning, tool execution, state transitions, and failure
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
