Ph.D. quantitative researcher and software engineer. Passionate about designing fast, robust, and easily maintainable software that will accelerate research velocity in finance. Skilled in creating production-quality solutions that require heavy-duty numerical data analysis and modeling on the backend, which feeds into elegant insights and snappy data visualizations on the front end.Deep experience in distributed financial time series analysis, full-stack software engineering, numerical methods, machine learning, artificial intelligence, and computer vision. Led teams of developers (while in both IC tech lead and pure management roles) in mission-critical projects to succeed in a wide variety of industries and applications, such as finance, healthcare, aerospace, psychology, and computational physics.Languages used extensively in the past few years include Python/Pandas, C++, Java, Javascript, Scala, and Matlab. Key technologies used recently include Spark, React, React Native, Altair, d3, OpenCV, and Google Cloud Platform. Regularly presented strategy, methods, and results to CEO's and executives.
Listed skills include Machine Learning, Computer Vision, Opencv, C, and 46 others.