Nicholaus Halecky
VP Of Engineering at HumanSignal
Reno, Nevada, United States
Summary
🤩
Rockstar🎓
Top SchoolNicholaus Halecky is a seasoned engineering leader with 13 years building and scaling ML-driven data products, currently serving as VP of Engineering at HumanSignal after senior ML and data roles at Bombora and Twitter. He combines hands-on contributions to major open-source projects like pandas and GoogleCloudDataproc with executive strategy—translating data vision into production ML systems that process billions of events daily. Known for growing and mentoring cross-functional teams, he has led organizations from IC-level data science squads to 30-person engineering groups and launched generative-AI and data-discovery initiatives. A PhD-trained problem-solver with a mechanical engineering background, he brings rigorous, empirical decision-making to product strategy and operational reliability. Fluent in Spanish and an advocate for open source in scientific software, he balances technical depth with candid leadership and a talent for making complex data pipelines accessible to stakeholders.
13 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Nuclear Engineering, Doctor of Philosophy (Ph.D.), Nuclear Engineering at University of California, BerkeleyOMSCS Candidate, Computer Science, (didn't complete), OMSCS Candidate, Computer Science, (didn't complete) at Georgia Institute of TechnologyBachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at University of Nevada-Reno
English, Spanish
Stackoverflow
23reputation
3kreached
0answers
1question
Github Skills (25)
python10
jupyter10
scripting10
data-science10
pandas10
conda10
gcp10
script10
sh10
shell10
devops10
data-analysis10
google-cloud-dataproc9
unit-testing9
automation9
Programming languages (12)
Github contributions (5)
GoogleCloudDataproc/initialization-actions
Dec 2015 - Apr 2017
Run in all nodes of your cluster before the cluster starts - lets you customize your cluster
Role in this project:
DevOps Engineer
DevOps EngineerContributions:8 commits, 6 PRs, 51 comments in 1 year 3 months
Contributions summary:Nicholaus primarily focused on automating and configuring the installation of Miniconda and Jupyter within a Google Cloud Dataproc environment. Their contributions included writing shell scripts for bootstrapping, setting up Jupyter kernels, and integrating these tools with existing cluster configurations. They addressed issues related to Python environments and paths, ensuring proper functionality and integration of Jupyter with the Dataproc cluster. Furthermore, the user made improvements in the structure and setup of the project by adding configurations to global profiles and making the bootstrap process more seamless.
nodesgoogle-cloud-dataprockubernetescustomizeterraform
pandas-dev/pandas
Jan 2013 - Feb 2013
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:Data Scientist
Data ScientistContributions:6 commits, 4 comments in 19 days
Contributions summary:Nicholaus contributed extensively to the `pandas-dev/pandas` repository, focusing on enhancing the library's data retrieval capabilities from Yahoo Finance. They expanded existing features, added test coverage to ensure functionality, and fixed a decode issue. The user's work included improvements to data acquisition and the inclusion of financial data components.
pythondatalabeled-datamanipulationdataframes
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.