Lecturer
I am a passionate AI researcher, educator, and product leader with over six years of experience in technical leadership and three years in building AI products. My expertise lies in Applied Machine Learning, Generative AI, and Intelligent Automation, where I have successfully led AI-driven initiatives, collaborating with business teams, engineers, and data stewards to build impactful solutions.
In my career, I have prioritized AI-powered solutions for critical business segments, driving over $20M in cost savings through strategic implementation. I specialize in end-to-end model development, automated data pipelines, and predictive analytics, ensuring AI applications are both effective and scalable. Additionally, I have worked extensively in Legal, Risk & Compliance domains, advising in-house lawyers and external stakeholders on AI-driven process optimization.
As a faculty member, I focus on making AI accessible and responsible. I enjoy breaking down complex ML, deep learning, and NLP concepts for both technical and non-technical students, ensuring that learners not only understand AI but also use it ethically and effectively. My teaching philosophy emphasizes conceptual learning, open-ended problem solving, bridging theory with real-world AI applications. I am deeply committed to mentoring, research, and advancing AI literacy, equipping the next generation with the skills to build responsible and impactful AI solutions.
Applied Machine Learning
Data Analytics & Data Science
Information Retrieval
Natural Language Processing
Electronic Discovery