Professional Overview
I’m an applied machine learning and generative AI engineer who builds practical, solution-focused systems. I work across LLMs, RAG pipelines, agentic workflows, and multimodal tasks. My experience includes fine-tuning models on Hugging Face, designing structured prompts, integrating real APIs, and developing automation tools using Python. I’ve built systems like an AI-based investment and trading assistant, a document-aware KT chatbot, and several end-to-end GenAI projects for analysis, prediction, and workflow automation. I focus on reliability: clean data flow, predictable model behavior, and outputs aligned with user requirements. I enjoy testing new models, refining prompts, and improving performance through iteration and experimentation. I’m looking for opportunities where I can apply my hands-on experience to create stable, production-ready AI features and contribute to teams working on practical, high-impact GenAI products.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.