Daniel Levenson
Staff Software Engineer, Applied AI at Norm Ai
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Levenson is a Senior Machine Learning Engineer specializing in audio and healthcare-focused ML with 13 years of cross-disciplinary experience building product, data, and engineering teams from startup to enterprise. He co-founded Healthify, led engineering and product at early-stage companies, and recently deepened his ML and health informatics expertise with an MS from Cornell Tech. Daniel pairs full‑stack development chops—contributions to major codebases like Artsy’s web platform and test-driven improvements to NetSuite wrappers—with applied ML work automating clinical coding and predicting patient dispositions. At Onehot Labs and Kaiser Permanente he translated clinical NLP research into production-ready systems, and today he applies that interplay of product sense and technical rigor to audio ML at Adobe. Notable is his track record of building systems end-to-end: from CI/CD and auth improvements to production ML pipelines that materially improve healthcare workflows.
14 years of coding experience
15 years of employment as a software developer
Johns Hopkins UniversityMaster of Science - MS Applied Information Systems and Sciences - Health Tech, Master of Science - MS Applied Information Systems and Sciences - Health Tech at Cornell Tech
English
Stackoverflow
100reputation
7kreached
6answers
3questions
Github Skills (35)
javascript10
netsuite-rest10
artoo10
testing10
rspec10
ruby10
front-end-development10
napi10
back-end-development9
typescript9
typescript-types9
automation9
react9
backend9
automations9
Programming languages (20)
Github contributions (5)
artsy/force
Dec 2018 - Jul 2020
The Artsy.net website
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:38 commits, 54 PRs, 60 pushes in 1 year 7 months
Contributions summary:Daniel primarily contributed to the front-end and back-end aspects of the Artsy.net website, as evidenced by changes to both mobile and desktop applications. They implemented and refined auction-related features, including bid confirmation and currency conversions, and addressed issues in authentication flows. Additionally, the user was involved in infrastructure by automating the process of creating and updating review apps, and improving CI/CD. They also made backend improvements related to API authentication.
reactjavascriptartsyexpress-jsgraphql
NetSweet/netsuite
Jul 2020 - Aug 2020
NetSuite SuiteTalk API Wrapper
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits, 3 PRs, 3 comments in 1 month
Contributions summary:Daniel primarily contributed to improving the test suite for the `netsuite/netsuite` repository, focusing on testing and ensuring the correct behavior of the NetSuite SuiteTalk API wrapper. Their work involved fixing deprecation warnings, upgrading testing syntax, and adding tests to cover edge cases and improve test coverage, specifically regarding configuration options and custom field handling. The user also added and backfilled tests, demonstrating a commitment to ensuring the reliability and correctness of the library's functionality.
netsuiterubynetsuite-apinetsuite-suitetalkerp
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.