I'm Krishna Vallabha Goswami, a Data Science undergraduate who enjoys standing at the crossroads of artificial intelligence/machine learning, mathematics, and markets. I'm drawn to problems that look complicated from the outside but reveal their structure when you ask the right questions.

What pulls me towards AI/ML and quantitative finance isn't just the models—it's the mindset. Understanding uncertainty. Reasoning under incomplete information. Turning patterns into decisions. It's a world where logic competes with randomness, and I like operating exactly on that edge.

I'm the kind of person who notices details, thinks deeply, and builds deliberately. Whether it's a research idea, a trading model, or a learning pipeline, I enjoy creating systems that make sense of chaos and keep improving over time.

Outside of work, I read a lot. Philosophy, psychology, history, finance. Books sharpen my instincts, challenge my assumptions, and help me see the world in gradients rather than absolutes. I treat my mind like a long-term project: always refining, always updating, always improving my priors.

At the center of everything is a simple belief:
Progress isn't linear. Mistakes aren't final. And as long as I keep showing up with intent, I can rebuild anything—ideas, models, and even parts of myself.