About Me ...
Background & Journey
I am a senior computer science student (UG) with a passion for Systems Engineering and AI.
Background
I work at the intersection of systems, AI, and markets. My focus is on building things that actually run—operating systems, large-scale infrastructure, learning systems, and trading pipelines. This is driven by a simple question: how do complex ideas behave once they’re forced to run, scale, and fail in the real world?
Including performance, correctness, and understanding how complex systems behave under real constraints
Philosophy
I believe real understanding comes from building systems that must operate under constraint—time, memory, scale, incentives.
I’m drawn to the boundaries where abstractions start to leak: where AI meets infrastructure, where finance meets latency, where elegant ideas collide with real workloads. Theory matters, but only insofar as it survives implementation, failure, and iteration.
Areas of Interest
Artificial Intelligence
Deep Learning, neural networks, and AI applications
Systems Engineering
Distributed systems, kernel programming, and scalability
Algorithmic Trading
Financial modeling, quantitative analysis, and network design