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DevConf.IN'19 has ended
DevConf.IN is the annual Developer’s Conference organized by Red Hat, India. The event provides a platform to the FOSS community participants and enthusiasts to come together and engage in knowledge sharing activities through technical talks, workshops, panel discussions, hackathons and much more.

All you have to do is a FREE registration here. There is no admission or ticket charges applicable to be a part of the event. All the event activities will be in English.

We are committed to foster an open and welcoming environment for everyone at our conference. We have our inclusive code of conduct and media policies, which we expect to be duly adhered during the event.

When: August 2-3, 2019

Venue: Christ University - Bengaluru, India

Click here for more updates about DevConf.

Registration Link: https://devconfin19.eventbrite.com

Last Date of Registration: 31st July, 2019

We request you to mark the talks you’re interested to help save time.
avatar for Vijay Agneeswaran

Vijay Agneeswaran

Walmart Global Technology Services Private Limited
Director of Data Sciences
Dr. Vijay Srinivas Agneeswaran has a Bachelor’s degree in Computer Science & Engineering from SVCE, Madras University (1998), an MS (By Research) from IIT Madras in 2001, a PhD from IIT Madras (2008) and a post-doctoral research fellowship in the LSIR Labs, Swiss Federal Institute of Technology, Lausanne (EPFL). He currently heads data sciences R&D as well as Element.ai, the artificial intelligence platform at Walmart Labs, India. He has spent the last eighteen years creating intellectual property and building data-based products in Industry and academia. He has led the team that delivered real-time hyper-personalization for a global auto-major as well as other work for various clients across domains such as retail, banking/finance, telecom, automotive etc.  He has built PMML support into Spark/Storm and realized several machine learning algorithms such as LDA, Random Forests over Spark. He led a team that designed and implemented a big data governance product for a role-based fine-grained access control inside of Hadoop YARN.  He and his team have also built the first distributed deep learning framework on Spark. He is a professional member of the ACM and the IEEE (Senior) for the last 10+ years. He has five full US patents and has published in leading journals and conferences, including IEEE transactions. His research interests include distributed systems, data sciences/machine learning/AI as well as Big-Data and other emerging technologies.