Shubham Dash is a Senior Machine Learning Engineer based in Mountain View with 11 years of experience building production ML systems at Meta, Microsoft, and Amazon. He specializes in large-scale, low-latency ML pipelines and real-time bidding algorithms, having driven significant revenue uplift through quantile prediction and win-classifier models in ad exchanges. His background combines a strong academic foundation (MS in ECE, Univ. of Michigan, 3.92 GPA) with hands-on expertise in TensorFlow, PyTorch, Spark, Airflow, and AWS to deploy models at X M QPS. Prior roles include Alexa Smart Home ML work that reduced user ambiguity across languages and research projects that applied GANs and VAEs to multimodal sensor data—efforts that progressed toward patentable innovations. Comfortable moving models from research to production, he pairs deep learning research experience with systems engineering skills in Python, C/C++, Hadoop, and Linux. Colleagues describe him as a pragmatic problem-solver who blends academic rigor with measurable business impact.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.E.), Instrumentation and Control Engineering, 81.02% (First class with distinction), Bachelor of Engineering (B.E.), Instrumentation and Control Engineering, 81.02% (First class with distinction) at Netaji Subhas Institute of Technology
Master of Science - MS, Electrical and Computer Engineering (Machine Learning), 3.92/4, Master of Science - MS, Electrical and Computer Engineering (Machine Learning), 3.92/4 at University of Michigan
Experiments with different algorithms and datasets
Contributions:56 commits, 50 pushes in 1 year 6 months
nlprnndeep-learningdatasetcomputer-vision
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Shubham Dash - Senior Machine Learning Engineer at Meta