Ayesha Shafique

About

Ayesha Shafique works in AI engineering, ML & data science and vibe coding & full-stack, based in Lahore,Pakistan. Computer Engineer | Python Developer | AI/ML Developer | LLM Engineer. Public projects on GitHub include Tensium Neo Work Trial (CPU ML Engineering: QA work trial), Marlin V2 Automation (Marlin V3 task automation for Cursor IDE - WSL scripts, Cursor Rules, validators, and guides) and Decoding-Lung-Tumorigenesis-through-Genetic-Biomarkers (This project aims to achieve the following functionalities: • Identify potential genetic biomarkers for…), mostly written in Jupyter, SystemVerilog and Python.

Projects 6

• 

  Tensium Neo Work Trial

  CPU ML Engineering: QA work trial

  github.com
• github.com

  Marlin V2 Automation

  Marlin V3 task automation for Cursor IDE - WSL scripts, Cursor Rules, validators, and guides

• 

  Decoding-Lung-Tumorigenesis-through-Genetic-Biomarkers

  This project aims to achieve the following functionalities: • Identify potential genetic biomarkers for early-stage lung cancer. • Develop accurate machine learning models for lung cancer prediction. • Visualize and interpret the results of the analysis. • Provide insights into the biological mechanisms underlying lung tumorigenesis.

  github.com
• github.com

  Driftmap

  Side project placeholder

• github.com

  Spell-Checker-Corrector-using-DSA-Concepts

  Spell correctors can work in various ways. In our version of a spell corrector, the program will read a text file to be checked and produce another file with the correctly spelled text in it. Any given word in file can either be correctly spelled or incorrectly spelled.

• 

  Brain-Tumor-Segmentation-and-Detection-using-UNET-and-Watershed-in-Python

  Create a precise and efficient method for recognizing and segmenting brain tumours from MRI images. It entails pre-processing MRI images with image processing techniques and applying segmentation algorithms to accurately detect the tumour region.

  github.com