Deep Learning Researcher, Educator, and Entrepreneur
Berkeley, California
UnifyID
Deep Learning Fellow
October 2016 to December 2016
Amazon Lab126
SDE Intern
June 2016 to August 2016
NVIDIA
Deep Learning Research Scientist
San Francisco Bay Area
A10 Networks
Senior Machine Learning Engineer
December 2016 to July 2017
University of California, Berkeley
uGSI for CS189: Introduction to Machine Learning
January 2017 to May 2017
Machine Learning at Berkeley
Head Of Education
December 2016 to May 2017
Machine Learning at Berkeley
PM and Head of Development
February 2016 to December 2016
Jadoo Technologies
Engineering Intern
October 2014 to November 2015
UC berkeley
Berkeley AutoLab
Undergraduate Research Intern
May 2015 to August 2015
UC Berkeley College of Engineering
Undergraduate Student Researcher
December 2014 to June 2017
What company does Raul Puri work for?
Raul Puri works for UnifyID
What is Raul Puri's role at UnifyID?
Raul Puri is Deep Learning Fellow
What industry does Raul Puri work in?
Raul Puri works in the Computer Software industry.
Who are Raul Puri's colleagues?
Raul Puri's colleagues are Swati Hegde, Faisal Zaghloul, Jonathan Rice, Soundharya Balasubramanian, Justin Thomas, Corey Stephens, Leon Lixingyu, Wesley Maxey, Shreyas Srinivas, and Mark Bennett
📖 Summary
Deep Learning Fellow @ UnifyID - Deep Learning Adversarial Attack detection From October 2016 to December 2016 (3 months) SDE Intern @ Amazon Lab126 - Worked on a new agent for Alexa. Built necessary cloud infrastructure and local logic for the new skill/feature set. From June 2016 to August 2016 (3 months) Deep Learning Research Scientist @ NVIDIA - NLP: QA, Conversational/Speech AI, Natural Language Inference, sentiment/text classification- Curriculum learning- Unsupervised learning- Transfer learning- Distributed and mixed-precision deep learning- Development + Deployment of natural language inference GUI/API- Influence DL hardware architecture + framework design- Research leader, author, and collaborator San Francisco Bay AreaSenior Machine Learning Engineer @ A10 Networks - Deep Learning for Network Security/Anomaly Detection- Distributed/Real-time Deep Learning- Deep Learning for Algorithm Design- Knowledge Distillation- Active One-Shot Learning with Model Agnostic Meta Learning From December 2016 to July 2017 (8 months) uGSI for CS189: Introduction to Machine Learning @ University of California, Berkeley - Undergraduate GSI for Graduate/Undergraduate Introductory Machine Learning course- Taught fundamental Machine/Statistical Learning theory and software engineering From January 2017 to May 2017 (5 months) Head Of Education @ Machine Learning at Berkeley - Craft Curricula for the Data Science DeCal classes.- Edit posts on our ML blog.- In charge of educating all new members with skills necessary to be an ML researcher/technical consultant.- Write Deep Learning blog posts for O'Reilly Media- Advise on group research and consulting projects. From December 2016 to May 2017 (6 months) PM and Head of Development @ Machine Learning at Berkeley PM position:- Create new research projects and manage existing/new research projectsHead of development:- In charge of training new members both in development as well as machine learning skills.- Also manage machine learning hackathon teams. From February 2016 to December 2016 (11 months) Engineering Intern @ Jadoo Technologies - Wrote code in C to take output from our chips and compile data into appropriate format onto database. -- Designed alpha version of GUI using python Tkinter, and supervised production of beta version of GUI. From October 2014 to November 2015 (1 year 2 months) UC berkeleyUndergraduate Research Intern @ Berkeley AutoLab - Control- Cloud Robotics From May 2015 to August 2015 (4 months) Undergraduate Student Researcher @ UC Berkeley College of Engineering Areas of Research:> Computer Science -- Parallel Computation/Software Architecture -- Algorithms -- Digital Signal Processing/ Embedded circuit design -- Deep Learning/AI --- Adversarial AI --- AI Security --- AI Safety --- Algorithm design via deep learning --- Computer vision --- Control/Hessian Free Optimization --- Deep Learning Systems --- General Artificial Intelligence --- Human Computer Interaction --- Natural Language Processing --- Meta Learning --- Reinforcement Learning> BioEngineering -- Computational Biology -- BioMems --- Drug Delivery --- Diagnostics From December 2014 to June 2017 (2 years 7 months)
Introversion (I), Intuition (N), Thinking (T), Judging (J)
0 year(s), 9 month(s)
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