Professional Overview
I’m a senior software engineer and AI practitioner with a strong background in full-stack development, now focused on advancing intelligent systems through prompt engineering, AI model training, and human-in-the-loop workflows. With 10+ years of experience building scalable SaaS platforms, I’ve transitioned into the AI space to help shape how machines learn, reason, and interact with human input. My work spans training LLMs, optimizing prompts for generative tasks, and labeling high-quality datasets that improve model safety, accuracy, and contextual understanding. I’ve collaborated on projects across industries—from education and healthcare to creative content generation—driven by a commitment to ethical AI and user-first design. Proficient in tools like Python, TypeScript, OpenAI APIs, and vector search frameworks, I’m also deeply familiar with model evaluation metrics, token efficiency, and real-time UX for AI-powered apps. Whether enhancing a chatbot’s clarity or fine-tuning zero-shot prompts, I thrive at the intersection of language, logic, and learning. I’m always exploring opportunities to build smarter AI products remotely and contribute to open, accessible, and responsible innovation in the AI space
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
