Kiln-AI/Kiln
Oct 2025 – Feb 2026
5 Months active
Languages Used
PythonSvelteTypeScriptYAMLMarkdown
Technical Skills
AI Model IntegrationConfiguration ManagementAPI IntegrationBackend DevelopmentTestingAI Development
Mike Chatzidakis
PROFILE
Mike Chatzidakis
Mike contributed to the Kiln-AI/Kiln repository by expanding AI model support and enhancing platform reliability over five months. He integrated new models such as Claude Opus, GLM, and GPT-5.2, focusing on seamless provider interoperability and deterministic routing for OpenRouter. Using Python and Svelte, Mike implemented robust configuration management, improved JSON schema validation, and enabled multimodal capabilities for document and image processing. His work emphasized data integrity, global accessibility, and streamlined evaluation workflows. Through careful documentation and testing, Mike ensured consistent deployment and reduced integration errors, demonstrating depth in backend development, API integration, and machine learning model orchestration across the platform.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
9
Lines of code
1,041
Activity Months5
Your Network
9 peopleSame Organization
@getkiln.ai1
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Kiln-AI/Kiln: Focused on releasing Claude Opus 4.6 multimodal capabilities and expanding the AI model catalog, with documentation and deployment readiness improvements. Key coordination across model configurations, skill updates, and compatibility constraints to enable a smooth rollout.
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Kiln-AI/Kiln: Focused on releasing Claude Opus 4.6 multimodal capabilities and expanding the AI model catalog, with documentation and deployment readiness improvements. Key coordination across model configurations, skill updates, and compatibility constraints to enable a smooth rollout.
February 2026
January 2026
4 Commits • 3 Features
Jan 1, 2026January 2026 Kiln monthly summary: Delivered key model integrations and platform improvements to Kiln AI, expanding model coverage, enhancing multimodal capabilities, and updating evaluation workflows. Three major deliverables were completed in Kiln-AI/Kiln: GLM 4.7 model support, Kimi K2.5 model introduction, and updated model recommendations for Gemini 3 Pro and GPT-5.2. These changes improve document extraction and evaluation tasks, broaden customer use-cases, and strengthen build/test pipeline readiness.
January 2026
4 Commits • 3 Features
Jan 1, 2026January 2026 Kiln monthly summary: Delivered key model integrations and platform improvements to Kiln AI, expanding model coverage, enhancing multimodal capabilities, and updating evaluation workflows. Three major deliverables were completed in Kiln-AI/Kiln: GLM 4.7 model support, Kimi K2.5 model introduction, and updated model recommendations for Gemini 3 Pro and GPT-5.2. These changes improve document extraction and evaluation tasks, broaden customer use-cases, and strengthen build/test pipeline readiness.
December 2025
6 Commits • 2 Features
Dec 1, 2025December 2025 Kiln monthly summary focused on expanding model capabilities, hardening data integrity, and optimizing global access to drive business value. Key features delivered include a substantial expansion of the model catalog and improvements to platform access, alongside reinforced data validation to ensure reliable, consistent responses across geographies. The work directly enables broader experimentation, faster time-to-value for customers, and improved operational reliability.
6 Commits • 2 Features
Dec 1, 2025December 2025 Kiln monthly summary focused on expanding model capabilities, hardening data integrity, and optimizing global access to drive business value. Key features delivered include a substantial expansion of the model catalog and improvements to platform access, alongside reinforced data validation to ensure reliable, consistent responses across geographies. The work directly enables broader experimentation, faster time-to-value for customers, and improved operational reliability.
December 2025
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 – Kiln-AI/Kiln: Key features delivered to strengthen OpenRouter integration and determinism. - Exacto model IDs for OpenRouter provider: Updated ml_model_list.py to apply ':exacto' suffix, ensuring the system uses the exact 'exacto' variant when integrating with OpenRouter. Commit: b737edcd63c7a2c3d62d14081a5190e522eac5cd (#766). - Deterministic OpenRouter provider routing: Added a preferred provider list and default provider order in LiteLlmAdapter to achieve deterministic routing with OpenRouter; includes tests for provider ordering. Commit: 7a163743b3da7aef892627bbf7bc8c48d537a2f8 (#767). Major bugs fixed: None reported this month. Impact and accomplishments: - Increased reliability and predictability of OpenRouter integration; reduced risk of model-id mismatches and routing variability. - Improved debugging and traceability through deterministic provider ordering and accompanying tests. Technologies/skills demonstrated: - Python: code changes in ml_model_list.py and LiteLlmAdapter. - Testing: provider ordering tests for determinism. - Clear commit history with issue references (#766, #767).
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 – Kiln-AI/Kiln: Key features delivered to strengthen OpenRouter integration and determinism. - Exacto model IDs for OpenRouter provider: Updated ml_model_list.py to apply ':exacto' suffix, ensuring the system uses the exact 'exacto' variant when integrating with OpenRouter. Commit: b737edcd63c7a2c3d62d14081a5190e522eac5cd (#766). - Deterministic OpenRouter provider routing: Added a preferred provider list and default provider order in LiteLlmAdapter to achieve deterministic routing with OpenRouter; includes tests for provider ordering. Commit: 7a163743b3da7aef892627bbf7bc8c48d537a2f8 (#767). Major bugs fixed: None reported this month. Impact and accomplishments: - Increased reliability and predictability of OpenRouter integration; reduced risk of model-id mismatches and routing variability. - Improved debugging and traceability through deterministic provider ordering and accompanying tests. Technologies/skills demonstrated: - Python: code changes in ml_model_list.py and LiteLlmAdapter. - Testing: provider ordering tests for determinism. - Clear commit history with issue references (#766, #767).
October 2025
1 Commits • 1 Features
Oct 1, 2025Month 2025-10 Kiln AI focused on expanding Claude model options and strengthening cross-provider evaluation readiness. Delivered updates to the Claude models list and usage recommendations, enabling immediate use of claude_4_5_haiku and enhanced recommendations for claude_3_7_sonnet across OpenRouter and Anthropic providers. No major bugs fixed this month; groundwork laid for more robust provider integration and evaluation workflows. Business value: broader model capability, streamlined experimentation, and faster time-to-value for data generation and evaluation tasks. Technologies demonstrated include model list management, provider integration (OpenRouter and Anthropic), configuration management, and commit traceability.
1 Commits • 1 Features
Oct 1, 2025Month 2025-10 Kiln AI focused on expanding Claude model options and strengthening cross-provider evaluation readiness. Delivered updates to the Claude models list and usage recommendations, enabling immediate use of claude_4_5_haiku and enhanced recommendations for claude_3_7_sonnet across OpenRouter and Anthropic providers. No major bugs fixed this month; groundwork laid for more robust provider integration and evaluation workflows. Business value: broader model capability, streamlined experimentation, and faster time-to-value for data generation and evaluation tasks. Technologies demonstrated include model list management, provider integration (OpenRouter and Anthropic), configuration management, and commit traceability.
October 2025
Activity
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Quality Metrics
Correctness96.6%
Maintainability89.4%
Architecture93.4%
Performance89.4%
AI Usage53.4%
Skills & Technologies
Programming Languages
MarkdownPythonSvelteTypeScriptYAML
Technical Skills
AI DevelopmentAI IntegrationAI Model DevelopmentAI Model IntegrationAI model integrationAPI IntegrationAPI developmentBackend DevelopmentConfiguration ManagementDevOpsDocumentationJSON schema validationMachine LearningModel IntegrationPython
Repositories Contributed To
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