Machine Learning Engineer2018 - 2019Emphasis AI
Technologies: Python, Django, NLP
- Designed an NLP algorithm with 95% test accuracy.
- Deployed the NLP algorithm via a RESTful API to a production environment on Digital Ocean.
- Created an automated testing suite to regularly assess algorithmic performance.
- Worked with a full-stack developer to improve the reliability of the web application.
- Collaborated with founder and patent attorney on a provisional patent.
Machine Learning Engineer2017 - 2019Medley
Technologies: Python, NLP, Spacy, Flask
- Beat state-of-the-art for de-identification of medical records with a 98.2% dev F1-score.
- Trained a neural network for named entity recognition.
- Deployed the de-identification model to a production environment with Flask, Nginx, and Gunicorn.
- Collaborated with a full-stack developer to build a search engine for medical records.
- Automated build processes with bash scripting.
Machine Learning Engineer2018 - 2018Independent Contractor
Technologies: Python, Scikit-Learn, Keras, Flask
- Built an end-to-end pipeline for making machine learning predictions.
- Estimated to allow the liquidation of $750,000-$1.25 million per month.
- Collaborated with a data scientist to integrate with a scraper and database system.
- Used Keras to build and train deep neural networks.
- Deployed the model to a RESTful API with Flask on a Digital Ocean server.
Co-Founder/Software Developer2015 - 2017Lexi
Technologies: Linux, Arduino, Bash
- Created a prototype software-defined radio for ZigBee and 2G protocols.
- Performed system administration with Linux and bash scripting.
- Interfaced hardware and software with GNURadio.
- Collected environmental data using sensors with Arduino.
- Performed customer discovery for the Illinois NSF I-Corps Program.