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Asynchronous, event-driven algorithmic trading in Python and C++

Home Page: https://aat.readthedocs.io

License: Apache License 2.0

Makefile 0.12% Python 16.48% C++ 83.14% CMake 0.18% C 0.07%

aat's Introduction

Hello

GitHub followers

Experience

My background is building high performance, full stack applications for front office business users and developers, focusing on streaming data, analytics, and machine learning.

You can find my resume here.
Cubist Point72 - Cubist Central Research Team 2022-
Columbia Columbia University Associate in Computer Science 2015-
IEX IEX Head of Software Engineeering, IEX Cloud 2020-2021
J.P. Morgan J.P. Morgan Vice President, Athena Research 2016-2020
MayStreet MayStreet Software Engineer 2015-2016

Teaching

I have taught in the Computer Science department at Columbia University since 2015. More information is available on my Columbia website.

Media
High Performance Data Visualization for the Web PyCon Italia 2024 link to presentation, files
Jupyter Notebooks for Print Media PyCon DE / PyData Berlin 2024 link to presentation
High Performance Data Visualization for the Web PyCon DE / PyData Berlin 2024 link to presentation, files
Building FPGA-based Machine Learning Accelerators in Python PyCon US 2024
Visualizing Live Data Pipelines JupyterCon 2023 link to presentation
Production Notebooks JupyterCon 2020 link to presentation
Beyond Spreadsheets NYC Data Council 2020 recording w/ Jeff Sternberg (@sternb0t)
Technical Director Google
JPMorgan's Python training guide for analysts and traders efinancialcareers - 2020 link
JPMorgan's requirement for new staff: coding lessons Financial Times - 2018 link

aat's People

Contributors

andyguenin avatar andyguenin0 avatar dependabot[bot] avatar ferev avatar gyunt avatar ryuuni avatar timkpaine avatar

Stargazers

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Watchers

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Forkers

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