Biography:

A Technical Evangelist in the Intel’s Technical Developer Evangelist team, focused on highlighting, training and showcasing Intel products and tools to developers worldwide. Currently focusing on Artificial Intelligence, developing coursework for Intel’s developer ecosystem and then delivering training for both industry and academic developers interested in using Intel’s optimized frameworks and libraries. Currently working with Microsoft Inc.

Professional Life:

A member of the Intel’s Technical Developer Evangelist team, focused on highlighting, training and showcasing Intel products and tools to developers worldwide. He focused on Artificial Intelligence, developing coursework for Intel’s developer ecosystem and then delivering training for both industry and academic developers interested in using Intel’s optimized frameworks and libraries.

- He Delivered a presentation on: "Training to inference: Create an end-to-end deep learning project using optimized hardware and software from Intel" at the A.I DevCon, Bangalore, India. The session trained 146 developers/students

- He Delivered a presentation and demo on: "Training to inference: Create an end-to-end deep learning project using optimized hardware and software from Intel" - A.I Devcon 2018. Session trained 50 developers/students.

- He Delivered a webinar presentation on - "Introduction to TensorFlow with Intel® Optimizations". Webinar trained over 2000 developers/students.

-He Developed Bill of Materials(BOM) Component cost vs. feature analytical capabilities; which had the ability to recommend alternate parts; highlight cost improvement opportunities based on parts. The project has $30 million savings potential/year ($4B spends per year) & 1000s of hours of non-value added productivity drain gathering and analyzing data using rudimentary methods.

- He Developed multiple data ingestion API for ingesting data from files (XML, xlsx, json), JDBC, webapi into Hdfs using spark dataframe and from Hdfs into Enterprise search capabilities (Solr, ElasticSearch).

- He Developed a POC for Extraction of contract metadata from contract files. Project involved text mining, text extraction and machine learning algorithms. The capability will save Commodity Managers up to 80% of time spent searching for contract information.