Synopsis: Research software engineer and full stack web developer, with experience in a variety of startup and R&D environments (academia, industry, nonprofit). I specialize in building collaborative tools that enable teams to create and understand large, complex datasets. I have lead or made major contributions to a number of widely used tools across multiple R&D fields of study, including features for data harmonization, visualization, and sharing. Most recently I am shifting more of my focus to the backend and working on the next generation of a tool for running a complex data annotation pipeline for large datasets in AWS. I've contributed to every part of the stack, plus some work with DevOps tools. I also maintain human subjects research certifications and have spearheaded successful federal security processes for public tools.
I work hard to help other members of my team be productive and drive continuous improvement. I'm pragmatic and flexible in choice of technologies, and like working with smart, caring people to solve problems bigger than one person can do alone. There's always something new to learn!
Remote: Open to hybrid/remote
Willing to relocate: No, but travel ok.
Technologies: Fullstack web + DevOps. Data analysis and workflows. Python. Flask, Django, Django REST framework. Celery, RabbitMQ. Terraform, Packer, Docker, Amazon Web Services (AWS). SQL (MySQL, PostgreSQL, AWS RDS, SQLite). NoSQL (MongoDB). Vanilla JavaScript/ES6 and frameworks including JQuery, D3, Ember.js, Vue.js. PyData stack (Numpy, Scipy, Matplotlib, Pandas, Jupyter), Snakemake, Nextflow, some R, MATLAB (scripting and GUI development). Some Unix/Linux administration. Unit testing and TDD with common frameworks and CI platforms (Pytest, xUnit, Mocha, GitHub actions, etc).
Résumé/CV: https://www.linkedin.com/in/abought/ (PDF on request) GitHub: https://github.com/abought
Email: abought+hnhiring [-@-] gmail [-.-] com
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Synopsis: Research software engineer and full stack web developer, with experience in a variety of startup and R&D environments (academia, industry, nonprofit). I specialize in building collaborative tools that enable teams to create and understand large, complex datasets. I have lead or made major contributions to a number of widely used tools across multiple R&D fields of study, including features for data harmonization, visualization, and sharing. Most recently I am shifting more of my focus to the backend and working on the next generation of a tool for running a complex data annotation pipeline for large datasets in AWS. I've contributed to every part of the stack, plus some work with DevOps tools. I also maintain human subjects research certifications and have spearheaded successful federal security processes for public tools.
I work hard to help other members of my team be productive and drive continuous improvement. I'm pragmatic and flexible in choice of technologies, and like working with smart, caring people to solve problems bigger than one person can do alone. There's always something new to learn!