Sardhendu Mishra is a Machine Learning Engineer with nine years of experience designing and shipping scalable ML systems, currently building models and infrastructure at ZEFR in Los Angeles. His background spans deep learning, computer vision, and geospatial intelligence from roles at arturo.ai and projects involving satellite, street-side imagery, and building polygon data. He pairs practical production experience—Airflow, Azure, TensorFlow—with research-oriented training in self-driving and deep reinforcement learning from Udacity and a Master’s in Data Science from Illinois Tech. Early work at Dell and Tataatsu shows a strong foundation in data engineering, PL/SQL, recommendation systems, and NLP pipelines. Colleagues describe him as someone who bridges experimentation and production reliably, with a recurring focus on geolocation-aware ML that’s informed by hands-on GIS and ensemble modeling work.
9 years of coding experience
7 years of employment as a software developer
Self-driving Car Engineer Nanodegree Artificial Intelligence, Self-driving Car Engineer Nanodegree Artificial Intelligence at Udacity
Master’s Degree Data Science, Master’s Degree Data Science at Illinois Institute of Technology
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Sardhendu Mishra - Machine Learning Engineer at ZEFR