About Me

After completing my master’s in computer science, I worked in industry across India and England before moving to Amsterdam. At the University of Amsterdam (UvA), I got involved in the research on EdgeAI, i.e., enabling Artificial Intelligence (AI) models to execute efficiently on resource-constrained edge devices. I pursued a PhD at UvA (completed 2022), focusing on hardware-aware AI models. I continued at UvA as a post-doctoral researcher before becoming an Assistant Professor in 2024. I have since built and extended an independent research line in EdgeAI, centred on context-aware and adaptive model deployment for dynamic execution environments.

I approach research with curiosity and creativity, focusing on designing adaptive neural architectures for resource-constrained edge devices. My work explores how AI models can dynamically adjust to changing environments while remaining efficient and sustainable over time.

Building on this foundation, I aim to make AI deployment more accessible and energy-aware across connected devices, bridging the gap between intelligence and efficiency. Through my research, I strive to publish impactful work, develop open-source tools, and create frameworks that strengthen Europe’s and the world’s AI capabilities.