Image of John Zedlewski

John Zedlewski's email & phone number

Director of GPU-accelerated machine learning for NVIDIA RAPIDS

John Zedlewski's Email Addresses & Phone Numbers

John Zedlewski's Work Experience

NVIDIA

Leading Deep Learning and Data Platforms for Autonomous Driving

Santa Clara, CA

Enlitic

Head of Engineering / Hands-on DL Researcher

October 2014 to March 2016

San Francisco

Castlight Health

Principal Engineer - Data Science / Pricing Research

July 2010 to October 2014

San Francisco, CA

John Zedlewski's Education

Princeton University

AB, Computer Science

1998 to 2002

Harvard University

MA, ABD, Economics

2005 to 2010

John Zedlewski's Professional Skills Radar Chart

Based on our findings, John Zedlewski is ...

Methodical
Results-driven
Deep

What's on John Zedlewski's mind?

Based on our findings, John Zedlewski is ...

52% Left Brained
48% Right Brained

John Zedlewski's Estimated Salary Range

About John Zedlewski's Current Company

NVIDIA

Frequently Asked Questions about John Zedlewski

What company does John Zedlewski work for?

John Zedlewski works for NVIDIA


What is John Zedlewski's role at NVIDIA?

John Zedlewski is Leading Deep Learning and Data Platforms for Autonomous Driving


What is John Zedlewski's personal email address?

John Zedlewski's personal email address is j****[email protected]


What is John Zedlewski's business email address?

John Zedlewski's business email address is [email protected]***.***


What is John Zedlewski's Phone Number?

John Zedlewski's phone (213) ***-*112


What industry does John Zedlewski work in?

John Zedlewski works in the Computer Software industry.


About John Zedlewski

💼 Past Experience

Work experiences from John Zedlewski's previous posts:John Zedlewski's Work experiences:Director of GPU-accelerated machine learning for NVIDIA RAPIDSJohn Zedlewski is currently a Leading Deep Learning and Data Platforms for Autonomous Driving at NVIDIA in Santa Clara, CA.Director, Accelerated ML for NVIDIA RAPIDS at NVIDIA in Santa Clara, CA.NVIDIA RAPIDS' open source machine learning tools bring GPU acceleration to the most popular, Python-based ML packages. We match scikit-learn or related APIs while delivering speedups from 5x to 200x.The tools are built to integrate smoothly with RAPIDS cuDF, which provides GPU acceleration with a Pandas-compatible API.At Enlitic, I had a chance to:Develop deep learning models for classification, localization, and segmentation of 2D and 3D medical images (mostly in Theano with occasional work in Caffe)Build interactive visualizations and labeling tools that allow users to explore the space derived from a deep learning models to cluster images together naturally.The tools, built in D3.js and Python, were featured in a TED talk (https://goo.gl/m35jNz) and on CNN.Principal Engineer - Data Science / Pricing Research at Castlight Health from July 2010 to October 2014 (4 years 4 months) in San Francisco, CA.Castlight works to improve our broken healthcare system with transparency and data science. I was a principal engineer and tech lead in the team that processes billions of claims and dozens of other data sources to help consumers find high value, high quality health care.Scaled the data processing engine at the heart of Castlight's product to crunch through huge datasets. Moved from manual, ad hoc processing to an automated system with multiple layers of error detection and testing. Redesigned systems to build on a modern, massively parallel database platform (Greenplum).Served as a technical lead and project lead from pilot stages to a successful IPO (with 100+ large enterprise customers)Greatly expanded breadth and accuracy of pricing data by incorporated modern machine learning techniques, including quantile regression forests, hierarchical linear models, quantile regression, naive bayes, and many other approaches where appropriate.Led initiatives to bring health benefit design into the 21st century, building out an analytics engine to automatically identify high value providers and compute ideal plan parameters for reference-based pricing. These new approaches are now guiding and optimizing billions of dollars in health care spend and have been adopted as a standard offering by one of the largest health insurers in the US.Wrote lots of SQL, R, and Ruby, plus Java, Scala, and C++ from time to time. PhD candidate in Business Economics at Harvard University from September 2005 to May 2010 (4 years 9 months) in Cambridge, MA.Studied computationally-interesting econometrics with applications to healthcare markets.Teaching fellow for third-year graduate econometrics elective


🎓 Education

John Zedlewski has a B.S. from Princeton University in Computer Science and a M.A. from Harvard University in Economics. Zedlewski has also taken a number of coursework related to business and entrepreneurship. Zedlewski's current work readiness as a business executive is currently at an early stage, but he has experience and is well-educated in the field. Zedlewski's educational background and work readiness background sets him apart as a successful business executive.


💡 Technical & Interpersonal Skills

John Zedlewski's professional and technical skills:John Zedlewski has many years of experience in the field of deep learning and machine learning. He is a leading expert in this field and has developed extremely accurate and efficient deep learning models. John Zedlewski is also know for his strong technical skills and has capable of working with various languages and software. In addition, John Zedlewski is also known for his interpersonal skills. He is a very friendly person and is able to easily get along with his colleagues. John Zedlewski is also experienced in leading projects and speaks excellent English.


John Zedlewski’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

John Zedlewski's Ranking

Ranked #953 out of 19,060 for Leading Deep Learning and Data Platforms for Autonomous Driving in California

John Zedlewski's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 10 month(s)

John Zedlewski's Willingness to Change Jobs

Unlikely

Likely

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John Zedlewski's Social Media Links

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