Summary
Reetahan Mukhopadhyay is a data engineer with eight years of hands-on experience at the intersection of machine learning, data infrastructure, and scientific research, currently building production systems at Trexquant in New York. A Columbia MS candidate and UIUC BS graduate with minors in mathematics and atmospheric sciences, he blends rigorous academic training with practical work across finance, visualization, and earth-science research. He transitioned from machine-learning roles at Virtualitics to data engineering in quant finance, demonstrating an ability to move models from research prototypes into scalable pipelines. Early internships in signal processing, GIS, and performance-focused software (Cadence) reveal a habit of optimizing systems for speed and memory, while teaching assistant and course assistant roles show strong communication and mentoring skills. He brings a multidisciplinary perspective—combining atmospheric data experience and database systems knowledge—to solve complex data problems in production contexts.
8 years of coding experience
6 years of employment as a software developer
Andover High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Illinois Urbana-Champaign
Bengali, English