As a software engineer at an innovative global health startup, focuses include full-stack product development, building data pipelines for clients in Latin America and Africa, and the development of the company’s open-source software initiatives. Accomplishments include:
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Developed full-stack Data Upload tool using React.js, GraphQL, PostgreSQL, and GCP/Dataprep APIs, empowering users to seamlessly query their own data on platform dashboards.
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Spearheaded the development of a React.js internationalization library, incorporating text interpolation and pluralization. Implemented Babel-based Node.js scripts for automated translation of web app copy into multiple user locales.
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Orchestrated infrastructure and crafted Python data integrations for four ETL pipelines, prioritizing performance for rapid ingestion into the Apache Druid datastore.
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Led a team of three to create a viable and open-source version of "Harmony," the core Zenysis product, contributing to its recognition as a Digital Public Good.
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Developed a comprehensive syllabus and provided hands-on assistance for teaching system administrators at the Brazilian Ministry of Health to deploy and maintain the open-source "Harmony" system, both virtually and in-person.
Architected and implemented software solutions across various initiatives at the ATLAS Project, Institute for Astronomy.
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Designed and implemented a geospatially-indexed database system to store observational light curve data for over 1 billion stars. Implemented real-time alerts for deviations from mean behavior models in astro detections.
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Rewrote the training code and updated the PyTorch image classifier, achieving a remarkable 0.09% false negative rate in identifying a new class of bogus asteroid detection.
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Consolidated distributed telescope status data into a containerized, mobile-friendly React.js web dashboard, providing a centralized and accessible monitoring solution.
Collaborated with neurobiologists to conceive and design a WCAG-compliant website showcasing a stochastic cellular automata model of stem-cell development.
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Leveraged proficiency in Python web frameworks, React.js, Docker, and Azure technologies to bring this innovative project to life.
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Co-authored paper published in Sept 2020 Developmental Neurobiology journal. The paper is accessible with DOI 10.1016/j.ydbio.2020.09.016.
