Better decision-making in large groups, by encouraging development of proposals by forking and merging.

Practitioner toolkit — templates, worked examples, and step-by-step guides for adopting LC-OS in your AI workflows.

How I helped a team scale their categorization using design thinking, cross-functional collaboration, and applied research.

This offers our unique solutions.

This folder is for various programs that are focused on Industrial Engineering and that offers reduced time for completion of the Applied Research projects.

A collection of digital libraries and databases to use as a jumping off point for secondary research in user experience research applications.

A quantitative research & analytics project developed during my MSc AI at BSBI. It focuses on evaluating NLU performance and user interaction patterns through data-driven insights. The project utilizes Python and advanced data visualization to identify intent classification gaps and provide systematic optimization strategies for conversational AI.

Empirical Analysis on Sorting Algorithms, using a custom-build algorithm testing tool

Inference-time optimization for diffusion-based text-to-audio generation using CLAP-guided multi-sample selection, with quantitative cost–quality analysis on AudioLDM.

This is a repository for R workshop 2019-2020.

🌐 Investigate and understand coherence in complex information environments to enhance structural clarity and decision-making across varying scales.

These documents by Tawabiry exhibit the maturity, theoretical depth, and synthesis capabilities typically aimed at Graduate Level (MS/PhD) Applied Research or Senior Staff Engineering Design Docs at major tech firms (L6/L7 level).

Applied research in representation and decision behavior

🤝 Stabilize long-term human–AI collaboration with LC-OS, a practical framework that ensures consistent memory and reliable interactions.