Adam Dziedzic
Tenure Track Faculty At CISPA Helmholtz Center For Information Security
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolAdam Dziedzic is a tenure-track faculty member at CISPA with 12 years of experience building robust, privacy-preserving machine learning systems and co-leading the SprintML group focused on secure MLaaS. He combines deep academic training (PhD, University of Chicago) with hands-on systems engineering across industry labs including Google, Microsoft, CERN and Vector Institute, delivering high-performance data infrastructure and ML tooling. His work spans from low-level C++ and data-structure optimizations to ML model robustness, and he has practical experience integrating native C/C++ with Python (ctypes) in popular educational repos. Comfortable in both research and production contexts, he has produced systems and publications on ML, databases, and hybrid workloads while mentoring and collaborating across institutions. Based in Toronto, he brings an engineer’s grit and a designer’s eye—equally at home prototyping startups or architecting secure ML services for real-world deployment.
12 years of coding experience
4 years of employment as a software developer
Master of Engineering (MEng), Computer Science, Master of Engineering (MEng), Computer Science at Warsaw University of TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of ChicagoTechnical University of Denmark
English, Polish, French
Github Skills (6)
ctypes10
c-language10
cprogramming-language10
python10
build-automation9
invoke9
Programming languages (9)
Github contributions (5)
realpython/materials
Jul 2021 - Jul 2021
Bonus materials, exercises, and example projects for our Python tutorials
Role in this project:
Backend Engineer
Backend EngineerContributions:5 commits, 1 PR in 1 day
Contributions summary:Adam contributed to the project by adding C++ examples and associated build configurations for calling C functions through the `ctypes` module. They modified the project's build process, including the `tasks.py` file, to accommodate the new C++ code. In addition, they refactored code formatting and removed unused parameters.
python
bigdawg-istc/bigdawg
Jul 2015 - Mar 2017
A polystore database from researchers of the Intel Science and Technology Center for Big Data
Contributions:431 commits in 1 year 8 months
big-datadatabase
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