I'm an experienced AI engineer with a history of working in startups and AI consulting.With a Master of Science in Artificial Intelligence from Northwestern University, I am an AI Architect at Why of AI, where I contribute to developing innovative and impactful AI solutions for clients across various industries. I have a strong background in large language models (LLM) and machine learning algorithms, as well as Python, product development, and systems thinking. In my current role, I conduct research and analysis to understand the problem domain and design detailed solution blueprints outlining the architectural components, data pipelines, and integration points. I also collaborate with cross-functional teams, including subject matter experts, ML engineers, and developers, to ensure the quality and feasibility of the proposed AI solutions. Additionally, I am an adjunct lecturer at Northwestern University, assisting in teaching and mentoring students in the Deep Learning course. I am passionate about AI for Good and lead a chapter of FruitPunch AI USA, a community that organizes education and networking events for the AI for Good movement.