Published research and academic contributions in AI, machine learning, and autonomous systems.
This research explores advanced deep learning techniques for object detection in autonomous vehicles, addressing challenges in real-time processing, accuracy, and edge-case handling. The paper presents novel approaches to improve detection reliability in varying environmental conditions.
Exploring how machine learning can enhance product discovery, user research analysis, and feature prioritization.
Understanding user behavior patterns and designing intuitive interfaces for complex enterprise applications.
Applying statistical methods and experimentation frameworks to product strategy and roadmap planning.
Pursuing a Master's in Engineering Management with a focus on product strategy, decision-making frameworks, and AI-driven product development. Combining technical research background with business acumen to drive innovative product solutions.
