Machine Learning Engineer
2018 - 2019Twosense, Inc.- Researched, developed, and deployed a suite of machine learning models (NumPy, SciPy, scikit-learn, XGBoost, Cython) that authenticated users based on behavioral biometrics collected from sensors on phones and computers.
- Wrote large-scale data processing scripts that consumed real-time biometric data for model training and testing using NumPy, AWS Redshift, and Pandas.
- Produced Jupyter notebooks visualizing model validation metrics, data transformations, and feature analysis.
- Guided best practices, led technical sessions, collaborated on project specifications, and wrote significant amounts of research documentation. I was hired as the first member of the machine learning and data science team.
- Wrote suites of unit tests for data processing, feature, extraction, and model validation.
Technologies: Python, Cython, SQL, NumPy, Pandas, Scikit-learn, SciPy, AWS, GitSenior Data Scientist
2017 - 2018Skedaddle- Developed a production-grade API for pricing algorithms using NumPy, scikit-learn, Lambda, and API Gateway.
- Built and maintained complete data pipeline platform reading public APIs using EC2, Lambda, and Snowflake, for creating time series models predicting product demand.
- Wrote a serverless web app displaying data visualizations and real-time monitors of key metrics using Flask, Zappa, and D3.js.
- Provided ad hoc analysis for all domains within the organization, and guided other team members in their analyses.
Technologies: Python, Flask, SQL, Snowflake, Pandas, NumPy, Scikit-learn, SciPySenior Data Scientist
2016 - 2017Whoop, Inc.- Led team code reviews and collaborated on the direction of quarterly team goals and projects.
- Researched, developed, and deployed novel, deep, convolutional neural networks for classifying activities based on multidimensional sensor data using PyTorch.
- Developed and maintained data pipelines consuming from Redshift and PostgreSQL databases.
- Built a real-time activity detection algorithm for biometric time series data using NumPy and SciPy.
- Researched and developed convolutional autoencoder models for compressive sensing using PyTorch.
- Wrote a real-time algorithm to detect how the user wears a sensor packet based on accelerometer and biometric profiles using NumPy, SciPy, and scikit-learn.
Technologies: Python, SQL, PyTorch, TensorFlow, SQL, AWS, Redshift, Scikit-learn, Pandas, NumPy, SciPyAssociate Data Scientist
2014 - 2016Cogo Labs- Implemented a Python library for A/B testing with Bayesian Statistics and other measurement tools.
- Developed statistical methods to mine URLs from user clickstream data (Presto) and developed neural networks (Tensorflow, Keras) to model user level characteristics from the browsing history.
- Applied NLP (scikit-learn, NumPy) techniques to cluster ad campaigns based on content similarity.
- Wrote algorithms (NumPy, SciPy, Pandas, scikit-learn) for user-campaign selection and developed models based on clickstream data, market intent, and demographics.
- Built tools to monitor critical metrics and score production models daily using Python, MySQL, PostgreSQL Presto, and MapReduce.
Technologies: Python, SQL, TensforFlow, Keras, Pandas, SciPy, NumPy, Scikit-learnFull-stack Developer
2013 - 2014Microsoft Project Users Group- Maintained the existing infrastructure and developed new back-end features and APIs on the legacy LAMP (PHP) stack.
- Performed front-end work using HTML5, CSS, and JavaScript to improve user experience and fix legacy bugs.
- Wrote Python scripts to automate data processing and reporting from third-party APIs and internal database sources.
Technologies: Linux, Apache, MySQL, PHP, Python, JavaScript
Brian Todd
Natural Language Processing (NLP) Developer in New York, NY, United States
Member since May 20, 2019
Brian is an experienced Data Scientist and Machine Learning engineer with a track record of researching and deploying a wide range of models for natural language processing (NLP) tasks, computer vision algorithms, classical machine learning algorithms, Bayesian statistical models, time series analysis models, and large-scale data mining algorithms.
Brian is now available for hire
Portfolio
- Twosense, Inc.Python, Cython, SQL, NumPy, Pandas, Scikit-learn, SciPy, AWS, Git
- SkedaddlePython, Flask, SQL, Snowflake, Pandas, NumPy, Scikit-learn, SciPy
- Whoop, Inc.Python, SQL, PyTorch, TensorFlow, SQL, AWS, Redshift, Scikit-learn, Pandas...
Experience
- Python, 8 years
- SQL, 6 years
- Data Science, 5 years
- NumPy, 5 years
- Pandas, 5 years
- Scikit-learn, 5 years
- Computer Vision, 4 years
- Natural Language Processing (NLP), 4 years
Availability
Part-time
Preferred Environment
Linux, Git, AWS, Sublime Text, Bash
The most amazing...
...project I've developed was a real-time deep learning pipeline that detected and classified user actions based on sensor data from a wrist-worn device.
Employment
Experience
- ABayesian (Development)https://github.com/brian-todd/ABayesian
Python package for Bayesian hypothesis testing.
- CyDTW (Development)https://github.com/twosense/CyDTW
High performance DTW library written in Cython for Python 3.x.
- FX-Data-Loader (Development)https://github.com/brian-todd/fx-data-loader
This project serves as an extensible framework for processing and cleaning historical FX data from Dukascopy's data feed.
- CFBBot (Development)https://github.com/brian-todd/CFBBot
Chatbot built to answer questions about several college football teams. Built using Rasa, Spacy, and requests.
Skills
Languages
Python, SQL, C++, Bash, SnowflakeLibraries/APIs
NumPy, SciPy, Pandas, Scikit-learn, PyTorch, XGBoost, Matplotlib, NLTK, TensorFlow, OpenCV, SpaCy, D3.jsTools
Git, Seaborn, Gensim, Rasa.aiParadigms
Data Science, Unit Testing, MapReduceStorage
PostgreSQL, MySQL, Redshift, SQLite, Apache HiveOther
Machine Learning, Computer Vision, Natural Language Processing (NLP), A/B Testing, Mathematics, Statistics, Cython, Google BigQueryPlatforms
Linux, Amazon Web Services (AWS), Unix, Google Cloud Platform (GCP)Frameworks
Flask, Hadoop, Presto DB, Spark
Education
- Bachelor of Science degree in Mathematics2009 - 2013University of Michigan - Ann Arbor, Michigan, USA
