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Julia Putko

@juliaputko

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AI/ML software engineer focused on HPC workflows, data formats, and scalable tooling.

Canada

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What I'm looking for

I seek a technical role building scalable HPC/AI tooling or data pipelines where I can apply software engineering and scientific data expertise, prefer collaborative teams focused on reproducibility and efficiency.

I am an AI/ML software engineer with hands-on experience designing and implementing scalable tools for HPC and hybrid HPC/AI workflows. I specialize in building inspection, configuration, and data-conversion tooling that improves developer productivity and resource efficiency.

At Hewlett Packard Enterprise I designed a framework for SmartSim to preview properties of complex workflow components, built a reusable inspection tool with Jinja templating, and led a refactor enabling multi-Redis configurations for HPC/AI applications. These efforts reduced development time and improved cross-system compatibility.

My background includes converting proprietary simulation datasets into community formats (VTK, netCDF, HDF5, Xarray) by defining metadata requirements and implementing methods across C, C++, FORTRAN, and Python to enable online analysis and visualization.

I have applied my skills in marine science contexts processing glider data, establishing metadata conventions, porting models into GOTM, and delivering user guides and scientific validation—always emphasizing maintainability, reproducibility, and user-centered tooling.

Experience

Work history, roles, and key accomplishments

AI/ML Software Engineer

Hewlett Packard Enterprise

Jul 2023 - Nov 2024 (1 year 4 months)

Designed and implemented an inspection framework for the open-source SmartSim library to preview hybrid HPC/AI workflow components, reducing user development time and improving HPC resource efficiency; led a refactor enabling name-based configuration and launch of multiple Redis databases for HPC/AI applications.

Python C C++HPC PBS Redis Jinja Software Architecture Refactoring Distributed Systems

AI/ML Software Engineer

Hewlett Packard Enterprise

Jun 2022 - Aug 2022 (2 months)

Derived technical requirements from data-format standards and implemented prescriptive methods in C, C++, FORTRAN, and Python to enable conversion of proprietary SmartRedis datasets to community formats (VTK, netCDF, HDF5, Xarray), enabling online analysis and visualization.

C++Fortran Python Data Formats NetCDF Xarray Data Conversion

Marine Science Programmer

Fisheries and Oceans Canada

Jan 2022 - Apr 2022 (3 months)

Processed and visualized real-time and delayed-mode glider data for CPROOF, improved metadata and naming conventions, and published quality-controlled NetCDF datasets to the project website to enhance data accessibility for end-users.

Python NetCDF YAML Jinja Data Quality Data Visualization BASH

Computer Model Support

Fisheries and Oceans Canada

May 2021 - Dec 2021 (7 months)

Ported sea ice and biogeochemistry components into the open-source GOTM (FORTRAN), validated scientific functionality with HPC-scale tests, authored user guides, and presented validation results at BEPSII 2021.

Fortran HPC Porting Documentation Testing Data Processing

Education

Degrees, certifications, and relevant coursework

University of Victoria

Bachelor of Science, Computer Science and Psychology

2017 - 2023

Completed a combined Bachelor of Science in Computer Science and Psychology, covering software development, data analysis, and cognitive science fundamentals.