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Jeshua Bratman

Private Tutor @ Computer Science Tutoring

Head of Machine Learning at Abnormal Security

New York, New York

Ranked #661 out of 13,212 for Private Tutor in New York

Section title

Jeshua Bratman's Email Addresses & Phone Numbers

Jeshua Bratman's Work Experience

Computer Science Tutoring

Private Tutor

December 2008 to May 2009

Twitter

Staff Software Engineer

November 2016 to May 2018

San Francisco

Twitter

Senior Software Engineer

May 2015 to November 2016

San Francisco

Jeshua Bratman's Education

Machine Learning Summer School (2011) Purdue

2011 to 2011

Colorado State University

Bachelor's degree, Computer Science, 3.9

2004 to 2008

University of Michigan

Doctor of Philosophy (PhD) ABD -- (Degree not completed), Computer Science

2009 to 2014

Jeshua Bratman's Professional Skills Radar Chart

Based on our findings, Jeshua Bratman is ...

Methodical
Challenging
Thorough

What's on Jeshua Bratman's mind?

Based on our findings, Jeshua Bratman is ...

52% Left Brained
48% Right Brained

Jeshua Bratman's Estimated Salary Range

About Jeshua Bratman's Current Company

Computer Science Tutoring

Tutored several computer science undergraduate students.

Frequently Asked Questions about Jeshua Bratman

What company does Jeshua Bratman work for?

Jeshua Bratman works for Computer Science Tutoring


What is Jeshua Bratman's role at Computer Science Tutoring?

Jeshua Bratman is Private Tutor


What is Jeshua Bratman's personal email address?

Jeshua Bratman's personal email address is j****[email protected]


What is Jeshua Bratman's business email address?

Jeshua Bratman's business email addresses are not available


What is Jeshua Bratman's Phone Number?

Jeshua Bratman's phone (212) ***-*141


What industry does Jeshua Bratman work in?

Jeshua Bratman works in the Computer Software industry.


Who are Jeshua Bratman's colleagues?

Jeshua Bratman's colleagues are Astha Singh, Nicole Jiang, Dmitry Chechik, Dee Tan, Justin Young, Christopher Pinchak, Lawrence Moore, Ken Liao, Austin Barr, and Viktor Passichenko


About Jeshua Bratman

đź’Ľ Past Experience

Jeshua Bratman has more than 10 years of experience in the field of machine learning. He has worked with applied and commercial machine learning algorithms, and has also developed his own machine learning algorithms. Jeshua Bratman is currently a Private Tutor at Computer Science Tutoring from December 2008 to May 2009 (6 months). Tutored several computer science undergraduate students. Jeshua Bratman has also worked with deep learning libraries, machine learning workflows, and shared models. He is responsible for creating and leading a company-wide Machine Learning Architecture group, and has also worked on building the machine learning platform for Twitter.Bratman has also been involved in product development for Twitter Ads Measurement, and has been involved in designing algorithms for predicting video and sensory sequences. He is also responsible for developing a new theory for language emergence.Bratman is also a head of machine learning atAbnormal Security in New York City. He founded and led the machine learning team at Abnormal Security, and is a part of the team that detects and preventing advanced email attacks.


🎓 Education

Jeshua Bratman's Education: Jeshua Bratman studied at Machine Learning Summer School (2011) Purdue from 2011 to 2011. He then studied at Colorado State University from 2004 to 2008. Jeshua Bratman has a Bachelor's degree, Computer Science, 3.9 from Colorado State University. He has also completed a Doctor of Philosophy (PhD) degree in Computer Science from University of Michigan in 2009.


đź’ˇ Technical & Interpersonal Skills

Jeshua Bratman is currently a Private Tutor at Computer Science Tutoring from December 2008 to May 2009 (6 months). Tutored several computer science undergraduate students. Staff Software Engineer at Twitter from November 2016 to May 2018 (1 year 7 months) in San Francisco. Technical lead on Twitter Cortex, architecting Twitter's AI Platform including our transition to deep learning libraries, machine learning workflows, and shared models. Built, deployed, and optimized models for detecting abusive behavior on Twitter such as preventing hate, abusive, and bullying behavior in Tweet conversation. Detecting and deleting violent videos and images using computer vision. Applied research on modeling historical user aggregate features from event data. Worked with the CTO to create and lead a company-wide Machine Learning Architecture group to share knowledge and strategy across the company. Senior Software Engineer at Twitter from May 2015 to November 2016 (1 year 7 months) in San Francisco. Lead rebuild of Twitter's Ads Measurement platform to support brand response surveys, and conversion lift studies.Engineering lead for Twitter Audience Platform on Web; coordinated 40+ engineers to bring the product from MVP to broad beta, architected system that brings together TellApart and Twitter ad serving technologies. Worked closely with product managers to prove effectiveness and product-market fit. Software Engineer at TellApart from September 2012 to May 2015 (2 years 9 months) in Burlingame, California. Lead machine learning platform team running feature and modeling pipelines, recommender systems, and control systems for bidding in realtime ad auctions. Developed and owned the real-time bidding algorithms for TellApart's advertising products which drive $xxx million per year. General full-stack engineer building new products on top of our customer data with experience in low-latency distributed systems, and large-scale distributed data processing.Built lambda architecture for user data serving 200k QPS and processing terabytes of batch and realtime events per day; responsible for the platform swap; architected online/offline feature store. Undergraduate Research Assistant at Colorado State University from October 2005 to June 2009 (3 years 9 months) in Ann Arbor, Michigan, United States. •Implemented CEBL, a brain-computer interface (BCI) allowing for users to control a mobile robot and an on-screen keyboard with mental tasks. CEBL is an experimentation suite and GUI (in C++/GTK) for research on electroncephologram (EEG) BCIs. Software has modular design to allow comparision of many filtering, feature extraction, and classification algorithms. Project at: http://www.cs.colostate.edu/eeg/cebl.• Wrote low-level C interface to EEG amplifier device in linux.• Collected EEG data from human subjects, analyzed data, compared algorithms. Teaching Assistant at Colorado State University from August 2008 to December 2008 (5 months) in Fort Collins, Colorado. Teaching assistant for Computer Organization and Architecture (CS 270). Duties included office hours, tutoring, teaching recitation section, and grading. Graduate Research Assistant at University of Michigan from September 2009 to February 2013 (3 years 6 months) in Ann Arbor, Michigan, United States. •Designed


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

Average Tenure

2 year(s), 0 month(s)

Jeshua Bratman's Willingness to Change Jobs

Unlikely

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