Next QConSF Conference: Applied AI for Developers QCon.ai April 2019

Presentation: Deep Learning AMA w/ Ameisen, Tiwari, & Cherukuri

Track: Speaker AMAs (Ask Me Anything)

Location: Boardroom C

Duration: 5:25pm - 6:15pm

Day of week: Tuesday

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Speaker: Emmanuel Ameisen

Head of AI @InsightDataSci

Emmanuel Ameisen is the Head of AI at Insight Data Science. Emmanuel has years of experience going from product ideation to effective implementations. At Insight, he has led over a hundred AI projects from ideation to finished product in a variety of domains including Computer Vision, Natural Language Processing, and Speech Processing. Previously, he implemented and scaled out predictive analytics and machine learning solutions for Local Motion and Zipcar. Emmanuel holds master’s degrees in artificial intelligence, computer engineering, and management from three of France’s top schools.

Find Emmanuel Ameisen at

Speaker page

LinkedIn

Speaker: Mitul Tiwari

CTO @PassageAI

Mitul Tiwari is the CTO and Co-founder of Passage.AI. His expertise lies in building data-driven products using AI, Machine Learning and big data technologies. Previously he was head of People You May Know and Growth Relevance at LinkedIn, where he led technical innovations in large-scale social recommender systems. Prior to that, he worked at Kosmix (now Walmart Labs) on web-scale document and query categorization, and its applications. He earned his PhD in Computer Science from the University of Texas at Austin and his undergraduate degree from the Indian Institute of Technology, Bombay. He has also co-authored more than twenty publications in top conferences such as KDD, WWW, RecSys, VLDB, SIGIR, CIKM, and SPAA.

Find Mitul Tiwari at

Speaker page

LinkedIn

Speaker: Chakri Cherukuri

Senior Researcher in the Quantitative Financial Research Group @Bloomberg

Chakri Cherukuri is a senior researcher in the Quantitative Financial Research group at Bloomberg LP. His research interests include quantitative portfolio management, algorithmic trading strategies and applied machine learning. Previously, he built analytical tools for the trading desks at Goldman Sachs and Lehman Brothers. Before that he worked in the Silicon Valley for startups building enterprise software applications. He has extensive experience in numerical computing and software development. He is a core contributor to bqplot, a 2D plotting library for the Jupyter notebook. He holds an undergraduate degree in engineering from Indian Institute of Technology, Madras and an MS in computational finance from Carnegie Mellon University.

Find Chakri Cherukuri at

Speaker page

@ccherukuri1
Chakri Cherukuri

Tracks

Monday, 5 November

Tuesday, 6 November

Wednesday, 7 November

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