oracle-devrel/technology-engineering
Nov 2025 – Mar 2026
3 Months active
Languages Used
N/APythonYAML
Technical Skills
AI integrationAutoMLJupyterN/AOCIPython
Assaf Rabinowicz
PROFILE
Assaf Rabinowicz
Assaf Rabinowicz developed end-to-end data science and automation solutions for the oracle-devrel/technology-engineering repository over three months. He built a project scaffold on Oracle Cloud Infrastructure, integrating Jupyter notebooks for preprocessing, model training, and AutoML evaluation to streamline reproducible experiments. Assaf also delivered operational research demos, including optimization algorithms like Dijkstra’s shortest path and ILP-based scheduling, and established a model catalog for automated registration and deployment. To improve release reliability and governance, he implemented CI/CD workflows using GitHub Actions and Python, automating compliance checks and release packaging. His work demonstrated depth in data science, DevOps, and scalable deployment automation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
6
Lines of code
396,258
Activity Months3
Your Network
863 peopleSame Organization
@oracle.com769
Aaron YoungMember
Carlos-CA-AlvarezMember
Dyre TjeldvollMember
grungtaMember
Kaiyuan LiMember
KarthikMember
Liam R. HowlettMember
Liam R. HowlettMember
Martin BalinMember
Shared Repositories
94
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) focused on delivering automated CI/CD and compliance workflows for oracle-devrel/technology-engineering to improve release reliability, governance, and maintainability. Implemented GitHub Actions workflows covering checks for banned file changes, CLA compliance, license audits, and automated release packaging; established a repeatable, auditable release process. Initiated integration with OCI SDK to support registration, deployment, and moving deployed models between compartments, laying the groundwork for scalable deployment automation.
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) focused on delivering automated CI/CD and compliance workflows for oracle-devrel/technology-engineering to improve release reliability, governance, and maintainability. Implemented GitHub Actions workflows covering checks for banned file changes, CLA compliance, license audits, and automated release packaging; established a repeatable, auditable release process. Initiated integration with OCI SDK to support registration, deployment, and moving deployed models between compartments, laying the groundwork for scalable deployment automation.
March 2026
January 2026
2 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for oracle-devrel/technology-engineering. Focused on delivering practical optimization demos and establishing an automated ML model lifecycle workflow. Key features advanced business value by enabling quick experimentation with optimization algorithms and scalable model deployment.
January 2026
2 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for oracle-devrel/technology-engineering. Focused on delivering practical optimization demos and establishing an automated ML model lifecycle workflow. Key features advanced business value by enabling quick experimentation with optimization algorithms and scalable model deployment.
November 2025
5 Commits • 3 Features
Nov 1, 2025November 2025 performance summary: Delivered end-to-end data science capabilities on OCI with three new packages and a scaffold, enabling rapid project setup, automated workflows, and scalable pipelines. This delivers tangible business value through reproducible experiments, faster time to insight, and improved resource efficiency. Major bugs fixed: none reported; minor polish and cleanup across features.
5 Commits • 3 Features
Nov 1, 2025November 2025 performance summary: Delivered end-to-end data science capabilities on OCI with three new packages and a scaffold, enabling rapid project setup, automated workflows, and scalable pipelines. This delivers tangible business value through reproducible experiments, faster time to insight, and improved resource efficiency. Major bugs fixed: none reported; minor polish and cleanup across features.
November 2025
Activity
Loading activity data...
Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
N/APythonYAML
Technical Skills
AI integrationAutoMLCI/CDDevOpsGitHub ActionsJupyterN/AOCIOracle Cloud InfrastructurePythonalgorithm designdata analysisdata sciencedatabase managementmachine learning
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline