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:

• 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.

• 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.

• Orchestrated infrastructure and crafted Python data integrations for four ETL pipelines, prioritizing performance for rapid ingestion into the Apache Druid datastore.

• 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.

• 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.

• 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.

• 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.

• 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.

• Leveraged proficiency in Python web frameworks, React.js, Docker, and Azure technologies to bring this innovative project to life.

• Co-authored paper published in Sept 2020 Developmental Neurobiology journal. The paper is accessible with DOI 10.1016/j.ydbio.2020.09.016.