Daniel Nuske
CTO And Co-founder at MailBerry
Greater Buenos Aires Argentina
Summary
🤩
Rockstar🎓
Top SchoolDaniel Nuske is a product-focused CTO and co-founder with nearly two decades of software experience and 13 years of professional roles spanning startups and enterprise projects. Currently building MailBerry, he architects full-stack SaaS systems using React, Node.js, Postgres and serverless AWS to handle high-throughput email campaigns and dynamic segmentation. His background includes ML/data integration and document-structuring pipelines, robust backend and DevOps work on notable open-source projects like Streamlit, and practical experience shipping APIs and UIs for AI teams at Pfizer. A hands-on leader who scored top ranks on Toptal and iterated on his own startups, he blends entrepreneurial grit with production-grade engineering. Based in Greater Buenos Aires, he brings a track record of turning complex data and delivery requirements into resilient, scalable products.
13 years of coding experience
14 years of employment as a software developer
Founder InstituteProject Manager Specialist, Project Management, Project Manager Specialist, Project Management at Universidad Tecnológica Nacional
English, Spanish, English
Stackoverflow
578reputation
28kreached
5answers
13questions
Github Skills (16)
tornado10
streamlit10
python10
cli10
devops9
error-handling9
cordova-plugin6
admob6
comet6
decorator6
naming-conventions6
cordova6
data-analysis3
data-science3
dockers3
Programming languages (6)
Github contributions (5)
streamlit/streamlit
Sep 2019 - Nov 2019
Streamlit — A faster way to build and share data apps.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:7 commits, 12 PRs, 5 pushes in 1 month
Contributions summary:Daniel focused on improving the Streamlit server's robustness and CLI functionalities. Contributions included implementing port rotation logic with retry mechanisms and enhancing error messages. Furthermore, they introduced command-line interface options, enabling users to configure settings via CLI parameters and environment variables. The user also worked on fixing Watchdog issues and various bug fixes.
streamlitpythonmachine-learningdata-sciencedeep-learning
Mailberry/mailberry-forms-lib
Apr 2023 - Dec 2024
script that holds the form library
Contributions:1 review, 4 PRs, 13 pushes in 1 year 7 months
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