Jay is a creative-driven full stack engineer specialized in prototyping complex ideas and bringing them to existence. He is currently the Lead Data Engineer at Target where he is responsible for driving the design and architecture of Big Data (Hadoop/Spark) based solutions for various Target initiatives such as Promotion Optimization, Price Optimization and providing Data Science as a service, just to name a few. He is really passionate to see how information can be cross-fertilized across various disciplines which explains his wide range of interests and constant experimentation in various domains such as virtual assistants, floating agrofarms, genetic sell sequencing and more to build artificially intelligent real-life products that have a direct impact on the human life. Jay studied Computer Science at the University of Southern California and was highly involved with the USC Startup Garage to guide the incubating startups in various areas of technology

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