As a software engineer with a strong focus on data systems, machine learning, and intelligent automation. He has built scalable, end-to-end data pipelines, implemented real-time streaming architectures, and developed ML-driven solutions including feature selection and sentiment analysis using NLP.

He has completed a Master’s in Computer Science with Machine Learning Specialization from Georgia Tech, further sharpening his expertise in applied AI. Across multiple startups, including roles as a founding engineer, he’s architected modern data platforms from scratch and helped teams go from zero to insight.

 

With experience in highly regulated industries like healthcare and fintech, he’s well-versed in building systems where privacy, security, and compliance are critical. Most recently, he's been exploring the intersection of large language models (LLMs) and analytics, using GenAI to extract key insights from complex, unstructured data.