Software Engineering Intern
2016 - 2016Google- Implemented an extraction algorithm that returns DOM nodes corresponding to annotated web pages.
- Developed an evaluation framework to assist with iteratively improving the performance of the aforementioned algorithm.
- Implemented a prototype web page transcoder that converts desktop-only pages to mobile-friendly.
Technologies: Python, C++Software Engineering Intern
2015 - 2015Elsen- Implemented standard library functions for a custom programming language designed specifically for devising and testing financial trading strategies.
- Added financial indicator functions to Elsen’s existing system.
- Implemented programs for retrieving and ingesting financial data.
Technologies: PostgreSQL, Python, HaskellMachine Learning Engineer
2012 - 2014Diffbot- Implemented and extended machine learning algorithms for classifying web pages, extracting dates from article pages, extracting brands from product pages, and extracting primary images from arbitrary pages.
- Maintained and extended Diffbot’s Custom API Toolkit, a service for creating custom APIs and customizing Diffbot’s existing APIs.
- Implemented the initial version of Crawlbot, a service that crawls a specified domain and sends the crawled URLs to Diffbot’s APIs for processing.
- Developed internal tools for evaluating information extraction algorithms, data collection, and headless rendering of web pages on remote servers.
Technologies: Java
Daniel Steinberg
Machine Learning Developer in Pittsburgh, PA, United States
Member since June 6, 2019
Daniel has an extensive background in machine learning dating back to 2011. He works with clients to fully optimize their products by vastly improving accuracy and speed, and develop tools for better predicting and testing. He is currently a part-time Ph. D. student researching artificial intelligence.
Daniel is now available for hire
Experience
- Software Development 10 years
- Java 10 years
- Python 10 years
- Machine Learning 8 years
- C++ 5 years
- C 5 years
- PyTorch 1 year
- Numerical Methods 1 year
Availability
Part-time
Preferred Environment
Vim Text Editor, Eclipse, PyCharm, Git, Linux
The most amazing...
...project I have worked on was a custom programming language for backtesting financial trading strategies.
Employment
Experience
- Pastichehttps://github.com/dstein64/pastiche
A PyTorch-based Python implementation of neural style transfer.
- Personal Blog and Websitehttp://dannyadam.com
My personal website with a WordPress blog.
- K-means Image Color Quantizationhttps://dstein64.github.io/k-means-quantization-js/
A web page that applies color quantization to images using k-means clustering.
- Gifcasthttps://dstein64.github.io/gifcast/
A web page that converts asciinema casts to animated GIFs.
- Auto Highlighthttps://chrome.google.com/webstore/detail/auto-highlight/dnkdpcbijfnmekbkchfjapfneigjomhh
A Google Chrome extension that automatically highlights the important content on article web pages.
- PyFactorizationMachineshttps://github.com/dstein64/PyFactorizationMachines
A Theano-based Python implementation of factorization machines.
Skills
Other
Machine Learning, Software Development, Mathematics, Economics, Statistics, Numerical MethodsLanguages
Python, Java, C, C++, JavaScript, Excel VBA, Haskell, Lisp, SchemeLibraries/APIs
NumPy, Keras, SciPy, Pandas, Theano, XGBoost, PyTorchTools
Git, PyCharm, Vim Text Editor, MATLAB, WekaPlatforms
Eclipse, Linux, Windows, MacOSStorage
MySQL, PostgreSQL
Education
- Ph. D. in Artificial Intelligence2011 - 2021University of Pittsburgh - Pittsburgh, Pennsylvania, USA
- Bachelor's Degree in Financial Economics2003 - 2008University of Rochester - Rochester, New York, USA
