Daksh Gupta is a Lead Software Engineer with a decade of experience building data ingestion and back-end systems at FiscalNote, where he progressed from Software Engineer to lead roles since 2017. He combines practical expertise in Python and Java with applied machine learning, computer vision, biometrics, and geospatial vision—having built projects like face and iris recognition, gesture classifiers, and GPS probe analysis. Comfortable across SQL and NoSQL databases (Postgres, MongoDB) and web stacks, he has shipped full-stack products, Chrome extensions, and hybrid mobile apps, and holds certifications in machine learning and deep learning. Known for bridging research-oriented ML work with production engineering, he also has hands-on experience with frameworks such as TensorFlow, scikit-learn, OpenCV, Pyramid, and Flask. Based in Virginia, Daksh pairs a Master’s in Computer Science with a practical curiosity for AR and embedded platforms like Raspberry Pi, enabling cross-domain prototypes that accelerate product innovation.
10 years of coding experience
9 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Illinois Institute of Technology
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at GLA University
Contributions:23 commits, 22 pushes, 2 branches in 2 years 4 months
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Daksh Gupta - Lead Software Engineer at FiscalNote