I work at the intersection of data, machine learning, and intelligent systems. With 3+ years of hands-on experience, I’ve moved beyond theory and into building real-world, production-ready solutions through internships and advanced projects.
From statistical models to deep learning architectures and large language models (next-token predictors), I enjoy understanding systems from first principles and engineering them for reliability and impact.
I specialize in transforming raw, unstructured data into meaningful insights, scalable pipelines, and AI-driven applications that support real business decisions.
I believe in evidence over intuition, experiments over assumptions, and data over opinions.
Data speaks louder than assumptions.