Deep Singh is a deep learning and data science engineer with 10+ years of experience building production-grade ML systems, currently advancing AI Co-Pilot research at NVIDIA's automotive team. He combines applied research in NLP and computer vision with hands-on experience shipping deep learning platforms and architectures (RNNs, LSTMs, CNNs, memory networks) from early-stage startups to enterprise settings. Prior roles span regulatory and distributed systems development for investment banks and large e-commerce migrations, giving him uncommon fluency in both low-latency, large-scale engineering and model research. He holds an MS in Data Science from University of New Haven and has built real-time data pipelines using Kafka, Spark Streaming and HBase, reflecting a pragmatic focus on production ML. Based in San Francisco, he excels at turning research prototypes into deployable products that meet strict operational and compliance constraints.
10 years of coding experience
9 years of employment as a software developer
Puran Chandra Vidyaniketan
Civil Engineering, Civil Engineering, Civil Engineering, Civil Engineering at Malaviya National Institute of Technology Jaipur
MS in Data Science, Data Science/ Machine Learning/Deep Learning/Predictive Analytics, MS in Data Science, Data Science/ Machine Learning/Deep Learning/Predictive Analytics at University of New Haven
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