GoogleCloudPlatform/applied-ai-engineering-samples
Dec 2024 – May 2025
3 Months active
Languages Used
Jupyter NotebookBashMarkdownPythonShellYAMLJSON
Technical Skills
AI/MLGenerative AISpatial ReasoningVertex AI SDKCloud ComputingData Analysis
Dennis Kashkin
PROFILE
Dennis Kashkin
Over three months, contributed to the GoogleCloudPlatform/applied-ai-engineering-samples repository by developing evaluation frameworks and demo notebooks for generative AI and model assessment. Built a Gemini 2.0 spatial reasoning demo using Python and the Vertex AI SDK, refining prompts and documentation to support customer evaluations. Designed and implemented evaluation recipes for text classification, document question answering, summarization, and image-prompt alignment, enabling robust benchmarking across model versions such as Imagen2, Imagen3, and Gemini. Leveraged Promptfoo, Python scripting, and cloud-based workflows to deliver production-ready assets, datasets, and templates, ensuring repeatable, reliable model evaluation pipelines and supporting upgrade decisions without recorded bug regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
6
Lines of code
3,666
Activity Months3
Your Network
11 peopleShared Repositories
11
Abhishek BhagwatMember
alejandroballestae@gmail.comMember
Alejandro Ballesta RosenMember
Christos AniftosMember
bhandarivijay-pngMember
Jennifer DavisMember
Jarek KazmierczakMember
kenhlee@google.comMember
Mirko MontanariMember
Work History
May 2025
2 Commits • 2 Features
May 1, 2025Concise monthly summary for May 2025 highlighting key features delivered, major fixes, and impact. Emphasis on business value and technical achievements from the GoogleCloudPlatform/applied-ai-engineering-samples repo.
2 Commits • 2 Features
May 1, 2025Concise monthly summary for May 2025 highlighting key features delivered, major fixes, and impact. Emphasis on business value and technical achievements from the GoogleCloudPlatform/applied-ai-engineering-samples repo.
May 2025
April 2025
5 Commits • 3 Features
Apr 1, 2025Delivered a focused set of evaluation features in GoogleCloudPlatform/applied-ai-engineering-samples for April 2025, enabling robust benchmarking across upgrades and model-version differences. Implemented three key evaluation feature lines with associated documentation updates, establishing repeatable workflows for model assessment and upgrade decisions.
April 2025
5 Commits • 3 Features
Apr 1, 2025Delivered a focused set of evaluation features in GoogleCloudPlatform/applied-ai-engineering-samples for April 2025, enabling robust benchmarking across upgrades and model-version differences. Implemented three key evaluation feature lines with associated documentation updates, establishing repeatable workflows for model assessment and upgrade decisions.
December 2024
1 Commits • 1 Features
Dec 1, 2024Monthly overview for 2024-12: Focused on delivering a demo feature and repo hygiene that demonstrates Gemini 2.0 spatial reasoning capabilities via Vertex AI SDK. The main deliverable is a Gemini 2.0 Spatial Reasoning Demo Notebook in the GoogleCloudPlatform/applied-ai-engineering-samples repository, with creation and updates of the notebook, prompt refinements, and attribution link updates to ensure accurate references. No major bugs were recorded for this month based on the provided data; however, notebook housekeeping and demo readiness were completed to support customer evaluations.
1 Commits • 1 Features
Dec 1, 2024Monthly overview for 2024-12: Focused on delivering a demo feature and repo hygiene that demonstrates Gemini 2.0 spatial reasoning capabilities via Vertex AI SDK. The main deliverable is a Gemini 2.0 Spatial Reasoning Demo Notebook in the GoogleCloudPlatform/applied-ai-engineering-samples repository, with creation and updates of the notebook, prompt refinements, and attribution link updates to ensure accurate references. No major bugs were recorded for this month based on the provided data; however, notebook housekeeping and demo readiness were completed to support customer evaluations.
December 2024
Activity
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Quality Metrics
Correctness93.8%
Maintainability92.6%
Architecture93.8%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
BashJSONJupyter NotebookMarkdownPythonShellYAML
Technical Skills
AI/MLCloud ComputingData AnalysisDocumentationGenerative AIModel EvaluationPrompt EngineeringPromptfooPythonPython DevelopmentPython ScriptingShell ScriptingSpatial ReasoningTechnical WritingVertex AI
Repositories Contributed To
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