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Khaled Ben Taieb

Building operating systems, computer architecture simulators, optimization engines, and AI-native software.


Projects

Samaris OS Mountain Lake Alpha One

A bootable native WebOS where the desktop is a web application.

Technologies

  • Rust
  • Linux
  • Electron
  • React
  • Local AI

VOLT CPU

Cycle-approximate out-of-order RISC-V CPU simulator focused on modern microarchitecture exploration.

Highlights

  • 5.16 IPC
  • TAGE branch prediction
  • Store-to-load forwarding
  • Genetic algorithm design-space exploration

FastData

AI-native analytics platform for CSV and Excel datasets.

Features

  • Conversational analytics
  • Automated insights
  • Client-side machine learning
  • Domain-specific analysis
  • Executive reporting

NP Problems — Road to Optimums

Research project exploring heuristic and exact approaches for NP-hard optimization problems.

Results

Problem Success Rate
Knapsack 90%
3-SAT 100%
TSP 76%

Overall benchmark success rate: 94.2%


Interests

  • Operating Systems
  • Computer Architecture
  • Artificial Intelligence
  • Optimization
  • Systems Programming
  • Data Analysis

Philosophy

Build things that deepen understanding.

I enjoy working across the entire software stack, from low-level systems and architecture to user-facing applications.


Contact

  • GitHub: github.com/btkhaled
  • LinkedIn: linkedin.com/in/khaledbentaieb
  • Email: bt.khaled@gmail.com

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