Professional Overview
I’m an AI Engineer with hands-on experience in LLM evaluation, multimodal AI, and agentic systems. In my current role, I work on benchmark tasks using MCP servers, create detailed evaluation rubrics, build deterministic pytest graders, and perform quality checks on AI outputs. I also have experience with video, image, and audio annotation, A/B response evaluation, AI artifact detection, and dataset QA. Along with AI work, I have a background in full-stack development using Python, JavaScript, React.js, Node.js, MongoDB, Firebase, and REST APIs. I enjoy solving technical problems, improving AI system reliability, and learning new technologies.
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.
