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PROFILE

Ducklequack

Muhammad H. Muwaffaq contributed to the CogitoNTNU/jarvis repository by engineering persistent chat history and advanced image generation features over three months. He integrated MongoDB using Docker and Python to enable reliable storage of user prompts and AI responses, supporting analytics and cross-session continuity. Muhammad also developed image recognition and generation workflows, leveraging GPT-4o and Stable Diffusion, and refactored agent modules for maintainability. He addressed deployment stability by fixing Docker Compose volumes and dependency issues, and improved repository hygiene through submodule management and documentation updates. His work demonstrated depth in backend development, AI integration, and DevOps, delivering robust, production-ready capabilities.

Overall Statistics

Feature vs Bugs

63%Features

Repository Contributions

14Total
Bugs
3
Commits
14
Features
5
Lines of code
780
Activity Months3

Work History

April 2025

6 Commits • 2 Features

Apr 1, 2025

April 2025: Delivered image generation capability within Jarvis by integrating the painter tool and adding the stable-diffusion-webui-forge submodule, enabling end-user image outputs and expanding product capabilities. Stabilized deployment by fixing docker-compose volumes, updating Pillow dependencies, relaxing version constraints, and correcting port exposure. Cleaned up repository by removing outdated imgGenerator submodule and updating gitmodules to a proper URL, reducing maintenance risk. Updated README to credit Muhammad H. Muwaffaq, improving contributor visibility. These changes provide measurable business value: richer feature set, more reliable deployments, and stronger collaboration across the team.

March 2025

6 Commits • 2 Features

Mar 1, 2025

March 2025 — CogitoNTNU/jarvis: Key visual AI capabilities delivered, image generation workflow stabilized, and container reliability improved to support scalable visual interactions. Key deliverables: - Image Recognition via Vision Tool: enables image-based queries and visual content recognition using GPT-4o (core: img-recognition); commits include 7a80f8cd4fddd072e4c2fddb9bb0ffd25909d7c9, 7a44d6aa04d43328f47bc8620154391845b20b0e, 5f64e2ccaa457b103aa8e229c753babd6c5adf5b - Image Generation with Stable Diffusion (NeoAgent): integrated Stable Diffusion, refactored modules to ai_agents, introduced NeoAgent with ReAct framework, plus painter tool and Docker updates; commits 41f27d65d324a3246a073d31c176695d4d0eab0c, a78d794460adbb356856d18f35a7656571214f6c - Image Generation Checkpoint Load Bug Fix: ensures mounted model files for reliable checkpoint loading in containers; commit db7e14687de4a93781c2c47221a1c2bf0a1edc81

February 2025

2 Commits • 1 Features

Feb 1, 2025

February 2025 (Month: 2025-02) - CogitoNTNU/jarvis focused on strengthening chat continuity and data reliability by delivering a persistent chat history layer using MongoDB. This feature ensures both user prompts and LLM responses are stored, enabling cross-session conversations, analytics, and auditing. The team updated the agent logic to return AI message content for storage and implemented robust chat entry insert/update flows. MongoDB is configured in docker-compose for consistent local/deploy environments.

Activity

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Quality Metrics

Correctness84.2%
Maintainability84.2%
Architecture82.8%
Performance72.8%
AI Usage42.8%

Skills & Technologies

Programming Languages

DockerfileGitJavaScriptMarkdownPythonYAMLgit

Technical Skills

AI IntegrationAI/MLAPI IntegrationAgent DevelopmentAgent FrameworksBackend DevelopmentDatabase IntegrationDevOpsDockerDocumentationFull Stack DevelopmentGit SubmodulesImage GenerationLLMLLM Integration

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

CogitoNTNU/jarvis

Feb 2025 Apr 2025
3 Months active

Languages Used

JavaScriptPythonYAMLDockerfileMarkdownGitgit

Technical Skills

Backend DevelopmentDatabase IntegrationDockerFull Stack DevelopmentLLM IntegrationAI Integration

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