Rishabh Gupta

EDUCATION Master of Science, Information Science & Technology

University of Tokyo, Japan, expected: April 2020

Bachelor of Technology, Aerospace Engineering

Indian Institute of Technology - Kanpur (IIT - K), June 2017 Concentration : Aerospace Engineering

Minor : Computer Science & Engineering

Publications [1] Gupta, Rishabh, Atsuhiro Noguchi, and Tatsuya Harada. “Between class learning for fine-grained classification”. In: IEEE Computer Vision and Pattern Recognition (CVPR) FGVC Workshop Poster (2018).

EXPERIENCE Google Developer Expert(Machine Learning) 2017-Current Google Inc.

• Youngest Google Machine Learning Experts (<60 worldwide) selected to publish and spread information about tensorflow and Google Cloud platform

• Keynote speaker at GDG DevFest Tokyo’18 on Generative Modeling

• Mentored and Judged the largest ideathon in Middle East with over 500 partici- pants in Oman

Deep Learning Researcher 2017-18

Kakao Brain Inc., Seoul, South Korea

• Researched on deep generative models (using W-GANs) for many-to-one voice conversion using unaligned corpora between target speaker and source

• Incorporated instance noise with improved vocoder to lessen effects of percep- tual quality distortion & over-smoothing effects thereby demonstrating perceived sound quality

• The project has currently over 2100+ stars on github and was featured in top 30 amazing projects from 2017 by mybridge.co

Computer Vision Researcher Summer 2017

Machine Learning Jeju Camp, Jeju-si (South Korea)

• Selected among 20 people from over 633 applicants from all around the world for Machine Learning Camp organized by TensorFlow Korea, Kakao Inc. and Google

• Researched under the supervision of Prof. Sung Kim (AI Research Director, Naver) to implement novel extensions for MAD-GAN research to increase effi- ciency of the multi-generator architecture on broader set of tasks including on imagenet

• Participated in interactive sessions with Jeff Dean, Rajat Monga & Kyung Hyun Cho to obtain key insights on the research operations of Google Brain and recent research paper by their members

Computer Skills Languages : C, C++, Python, R, MATLAB, Octave Deep Learning : Keras, PyTorch, TensorFlow, Docker, TensorFlow for TPU, Tensorflow-serving

Denotes Equal Contribution

Scholarships • Selected as a student scholar with travel grant worth $ 1700 for ethics in NLP workshop to present my work at North American Chapter of the Association for Computational Linguistics (NAACL) 2018

• Awarded e 900 to attend European Ruby Conference (EuRuKo’18) under their Diversity Program Initiative

• Selected among 7 students chosen from 8 IITs for JICA Innovative Asia Scholar- ship (worth about $ 35,000)

• Among top 750 students qualified for National Talent Search Examination (NTSE) from over 3 million peers

Achievements • Stood 77th from over 430 teams in ACM-ICPC 2018 Yokohama

• Stood 471st from over 1500 teams in ACM-ICPC 2015 Amritapuri

• Ranked 4th in Kaggle Ifood Challenge 2018

• Ranked 99.7 percentile in Joint Entrance Examination Advance 2013

• Received 2 Silver medals and 10 Bronze medals on popular site stackoverflow.com Teaching

Activities and

Talks

• Talk at Deep Learning Camp Jeju 2017

• Tutorial on Introduction to Tensorflow Eager mode at University of Tokyo

• Host for guest lecture on ”Creativity and Abstractions of Neural Network” by David Ha at University of Tokyo

• GDG Tokyo Devfest 2018 talk on ”Generative Modeling on GCP”

• Teaching assistant under Prof. Michal Fabinger for course on Deep Learning for Practical Economics Research

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