tanveer mehra
research (scroll to explore timeline)
neural architecture search in resource-constrained environments
exploring automated machine learning techniques that work on edge devices. how can we design neural networks that discover their own optimal architectures while respecting memory and computational constraints?
computational creativity: beyond pattern matching
investigating the boundaries between pattern recognition and genuine creativity in generative systems. what does it mean for a machine to be creative, and how do we measure it?
consistency models in distributed systems
a practical look at CAP theorem trade-offs in modern distributed architectures. examining real-world systems and the consistency models they choose, and why.
human-ai collaboration patterns
how do we design interfaces where humans and AI systems work together effectively? lessons from observing collaborative workflows and identifying successful patterns.
efficient transformer architectures
investigating methods to reduce the computational overhead of transformer models while maintaining performance. can we get 90% of the results with 10% of the cost?