I am the founder of Traversaal.ai, an LLM-based startup dedicated to building scalable, customizable, and cost-efficient AI solutions for enterprises. My work focuses on practical, production-ready AI—far from the flashy, overhyped demos that fail in real-world environments.

With over 15 years of experience in machine learning, my career has spanned three continents and seven countries, working across industries like tech, telecommunications, finance, and retail. As a former Senior Research Manager at Google and Walmart Labs, I have led teams specializing in optimization, NLP, recommender systems, and time series forecasting.

Currently, I serve as an adjunct professor at Stanford and UCLA, where I bridge the gap between academic research and real-world AI applications. My passion lies in educating the next generation of AI practitioners and enabling organizations to build enterprise-grade AI solutions that are scalable and efficient.

Beyond academia, I have been recognized as a Top AI Voice on LinkedIn multiple times, with my work even being featured in Times Square. Last year, Meta awarded me a $100K AI Grant for my contributions to the field—further validating my commitment to advancing AI research and deployment.

I regularly speak at conferences, lead training sessions, and consult on AI strategy, covering topics like large language models, deep learning, cloud computing, and AI deployment at scale. My mission is simple: help organizations cut through the noise and build AI solutions that actually work in production.