Personal Background:

I have been in the AI/ML space since 2015 and have been in data science since 2014, leading all forms of AI-backed solutions including but not limited to Computer Vision, Natural Language Models (NLP), and most recently Large Language Models (LLMs) and Generative AI. I am currently a Principal AI Engineer at FICO, a ? global data analytics company providing credit scoring solutions for financial institutions, consumers, and businesses worldwide.?? Previously, I was a Tech Lead at Vertex Inc, a global leading provider of tax technologies ??. I have also been a Senior ML Engineer at an S&P 500 company, LabCorp, developing AI-driven solutions ?? in drug diagnostics, drug development, operations management, and financial decisions for our global leaders in life sciences ??. I have also held positions such as enterprise-level Data Scientist at Bayer (a EURO STOXX 50 company), Quantitative Researcher (apprenticeship) at AQR (a global hedge fund pioneering in alternative quantitative strategies to portfolio management and factor-based trading), and Equity Trader at T3 Trading on Wall Street (where I was briefly licensed Series 56 by FINRA). I supervise a small fund specializing in algorithmic trading (since 2011, performance is I also run my own monetized YouTube Channel. Feel free to add me on LinkedIn. ??

Though I started in Finance, my AI career started from academic environment. I was a PhD student in Statistics at Columbia University from September of 2020 to December of 2021 ??. I earned a B.A. in Mathematics, and an M.S. in Finance from University of Rochester ??. My research interests are wide-ranging in representation learning, including Feature Learning, Deep Learning, Computer Vision (CV), and Natural Language Processing (NLP) ??. Additionally, I have some prior research experience in Financial Economics and Asset Pricing ??.