Professional Overview
I am an AI researcher and creator focused on building intelligent systems that are useful, humane, and deeply aligned. My work sits at the intersection of artificial intelligence, cognition, and education where technology is not just powerful, but genuinely meaningful. Over the years, I’ve worked on making AI more efficient, accessible, and inclusive, particularly across diverse languages, voices, and real-world contexts. Rather than chasing trends, my curiosity has always centered on a deeper question: What does it mean to understand? I’m especially interested in how ideas from neuroscience, psychology, and education can inform the next generation of AI systems that adapt, explain themselves, and interact intuitively with humans. My long-term goal is to contribute to a future where AI doesn’t merely process information, but supports better decisions, deeper learning, and positive societal impact making technology a force that empowers people at scale.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
