Podcasts Technology Datacast Episode 2: Becoming a Deep Learning Expert with Deep Narain Singh

Episode 2: Becoming a Deep Learning Expert with Deep Narain Singh

Published: Sept. 8, 2018, 7:30 p.m.

Show Notes:

  • (1:58) Deep gives a brief background of his career.
  • (3:42) Deep explains the discipline of civil engineering.
  • (4:24) Deep talks about his first job out of college as a programmer analyst at Cognizant in Pune, India.
  • (5:26) Deep then became a senior software engineer at the investment bank Citigroup in Mumbai, India.
  • (7:30) Deep discusses his next role as a senior associate for the e-commerce company Sapient in Bangalore, India.
  • (8:57) Deep then went to Barclays Investment Bank back in Pune and worked as an analyst, in which he learned a lot about big data technologies.
  • (10:07) Deep talks about the diverse Indian cultures as he had experience working in many different regions in India.
  • (12:22) Deep recounts the story that propelled him to explore study opportunities in the United States.
  • (16:10) Deep gives practical advice to international students who want to pursue a graduate degree in the US.
  • (17:53) Deep talks about the Machine Learning and Deep Learning classes he took while at Galvanize.
  • (19:27) As a graduate student researcher, Deep built an image captioning system for a startup named FoxType, which helps non-native English speaker write better emails. He goes over the challenges in building this system.
  • (24:55) As a deep learning research intern for Netomi.com, Deep built a system with memory using neural network to solve the shortcoming of understanding long-term conversation and context for conversational agent. He discusses the process he went through.
  • (27:59) Deep talks about his machine learning project in which he built a sentiment analysis engine using the 300k reviews from Trip Advisor.
  • (31:33) Deep talks about another data engineering project in which he built an end-to-end real-time mapping of geo-locations in San Francisco for Uber Price Surge.
  • (37:32) Deep recommend the big data tools and technologies that all data scientists should know about.
  • (39:27) Deep shares his job search experience and how he landed a role at Nvidia.
  • (42:02) Deep provides helpful advice to crack the machine learning interview (aka, learning the fundamentals + networking).
  • (45:14) Deep talks about the autonomous vehicle system he’s working on at Nvidia.
  • (47:20) Deep quickly goes over Nvidia’s company culture.
  • (49:32) Deep digs deep into computer vision problems.
  • (51:34) Deep predicts the future applications of deep learning.
  • (53:40) Closing segments.

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