EXCEEDS logo
Exceeds
Tanguy Pomas

PROFILE

Tanguy Pomas

Over a three-month period, contributed to the ai-solution-eng/ai-solution-demos repository by building and refining AI-driven solutions for document analysis and meeting orchestration. Led the rebranding and restructuring of the Text Document Analysis demo, clarifying its integration with large language models and improving onboarding through enhanced documentation and folder organization. Developed an AI-powered meeting orchestration demo using Next.js for the frontend and FastAPI for the backend, showcasing agentic workflows for collaborative meetings. Focused on repository hygiene by reorganizing and archiving outdated demos, streamlining fine-tuning workflows, and reducing technical debt. Worked primarily with Python, JavaScript, and YAML configuration.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

8Total
Bugs
0
Commits
8
Features
3
Lines of code
342,906
Activity Months3

Work History

June 2026

2 Commits • 1 Features

Jun 1, 2026

June 2026 monthly summary for ai-solution-eng/ai-solution-demos: Focused on cleaning up and reorganizing the Finetune Tool Calling LLM demo to streamline current implementations and reduce maintenance overhead across the repository.

May 2026

1 Commits • 1 Features

May 1, 2026

May 2026 monthly summary focusing on the AI solution demos repo. Delivered a new AI-powered meeting orchestration demo that showcases structured orchestration of AI agents to simulate collaborative meetings, with a frontend built on Next.js and a backend powered by FastAPI. The work emphasizes agentic workflows, meeting creation, management, and simulation to generate outcomes, demonstrating practical business value of automated, AI-assisted meetings.

April 2026

5 Commits • 1 Features

Apr 1, 2026

April 2026: Branded the project as Text Document Analysis (TDA) and overhauled the demo catalog to clearly demonstrate TDA capabilities and its integration with LLMs. Implemented renaming of the BAR demo, reorganized demo folders, added READMEs for new folders, and updated the main README to reflect TDA functionality and LLM integration. These changes enhance onboarding, accelerates customer evaluation, and improve maintainability by clarifying scope and usage.

Activity

Loading activity data...

Quality Metrics

Correctness100.0%
Maintainability97.6%
Architecture100.0%
Performance97.6%
AI Usage47.6%

Skills & Technologies

Programming Languages

JavaScriptMarkdownPythonYAML

Technical Skills

AI DevelopmentAI integrationAI orchestrationAI solutionsAPI integrationData EngineeringDevOpsDockerFastAPIKubernetesMachine LearningNVIDIA NeMoNext.jsNode.jsPostgreSQL

Repositories Contributed To

1 repo

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

ai-solution-eng/ai-solution-demos

Apr 2026 Jun 2026
3 Months active

Languages Used

JavaScriptMarkdownPythonYAML

Technical Skills

AI integrationAI solutionsDevOpsDockerKubernetesNode.js