I'm an AI/ML professional with over 14 years of experience building and scaling machine learning systems across industries like e-commerce, energy, healthcare, and construction tech. I enjoy working at the intersection of data, models, and systems—turning messy real-world problems into impactful, production-ready solutions. Currently, I lead AI at Parspec, where I work on document intelligence, hybrid search (LLM + RAG), and large-scale ML deployments using Kubernetes and microservices. I've also helped optimize infra costs and grown a collaborative, high-performing team. Before this, I worked with teams at Walmart, Philips, and MFT Energy on everything from fraud detection and personalization to diagnostic automation and energy forecasting. I hold a PhD in Computational Neuroscience and have published in journals like Nature Communications and The Journal of Neuroscience. I’m always up for conversations around AI strategy, product thinking, and scaling data science teams.