Technical Lead on Pre-incubator Team2018 - 2019Alacrity Foundation
Technologies: PHP, Laravel, Python, Keras, Tensorflow, Flask, Vue.JS, HTML, CSS, Firebase, GCP, AWS
- Underwent web dev bootcamp building an image search engine in Laravel and DarkNet as a machine learning back end to do object classification as a final project.
- Built prototype tool for wildfire reporting with machine learning powered upload filter to identify fraudulent fire reports.
- Built ELO tracker for in office Ping Pong league on Firebase and with Vue.JS.
- Business analysis, market segmentation, primary research into a wide range of industries.
- Built computer vision system able to detect pneumonia from chest X-Rays with ~95% accuracy and fast enough to run on a mobile device.
Data Analyst and Engineer2018 - 2018Owlstone Medical
Technologies: Python, Keras, SQL
- Developed statistical and machine learning methods for detecting and classifying chemical weapons using Keras and Python.
- Performed performance audit of core Python libraries and drove large scale improvements using high-performance libraries such as Numba.
- Performed data exploration and analysis of discriminatory power of company spectrometers in telling chemicals apart.
- Helped train team members in Python skills and best practices.
- Developed within and extended CLI pipeline using Docker and Jenkins.
Software Engineer2016 - 2018uVue
Technologies: Python, Arduino, C
- Integrated sensors onto drone flight platform using Arduino and Python.
- Built simulation environment in Python to test drone navigation strategies.
- Processed imagery collected during drone surveys of agricultural land to provide actionable insights for farmers.
- Prototyped novel cryptocurrency architectures and tested performance under variable network conditions.
- Assisted in writing technical documentation, patent specifications, and job specs and helped with interviews.