Pradeep Pasupuleti has over 16 years of experience in architecting and developing distributed and real-time data-driven systems. Currently, his focus is on developing robust data platforms and data products that are fuelled by scalable machine-learning algorithms, and delivering value to customers by addressing business problems by juxtaposing his deep technical insights into Big Data technologies with future data management and analytical needs. He is extremely passionate about Big Data and believes that it will be the cradle of many innovations that will save humans their time, money, and lives.

He has built solid data product teams with experience spanning through every aspect of data science, thus successfully helping clients to build an end-to-end strategy around how their current data architecture can evolve into a hybrid pattern that is capable of supporting analytics in both batch and real time—all of this is done using the lambda architecture. He has created COE's (Center of Excellence) to provide quick wins with data products that analyze high-dimensional multistructured data using scalable natural language processing and deep learning techniques.

He has performed roles in technology consulting advising Fortune 500 companies on their Big Data strategy, product management, systems architecture, social network analysis, negotiations, conflict resolution, chaos and nonlinear dynamics, international policy, high-performance computing, advanced statistical techniques, risk management, marketing, visualization of high dimensional data, human-computer interaction, machine learning, information retrieval, and data mining. He has a strong experience of working in ambiguity to solve complex problems using innovation by bringing smart people together.

His other interests include writing and reading poetry, enjoying the expressive delights of ghazals, spending time with kids discussing impossible inventions, and searching for archeological sites.

You can reach him at http://www.linkedin.com/in/pradeeppasupuleti and <[email protected]>.