Alyyeen Ahmed

Alyyeen Ahmed

Software Engineer | AI for Social Impact | FAST-NUCES '26

Based in: Islamabad, PakistanMost recently: Machine Learning Intern, KP IT Board

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Recent Software Engineering graduate from FAST-NUCES with a focus on high-impact AI systems. Developed GeoShield, an AI disaster monitoring system that automates damage assessment and authority notification within seconds. Experienced in building end-to-end ML pipelines with TensorFlow and PyTorch, achieving significant model performance gains (35% mIoU improvement). Passionate about leveraging technology for social good and disaster response.

Experience

Machine Learning Intern

KP IT BoardPeshawar, PakistanworkDec 2025 – Apr 2026

Summary

Built an end-to-end image preprocessing pipeline for Computer Vision and Machine Learning tasks. Cleaned and preprocessed image datasets to improve data quality and model performance. Applied Gaussian filtering for noise reduction and Bilateral Histogram Equalization for image enhancement. Extracted image features using the Canny Edge Detection algorithm. Performed data optimization techniques, including dataset balancing, normalization, and batch processing to improve training efficiency and model robustness. Optimized data workflows to support scalable and efficient AI model development.

Results

  • Improved mIoU from 0.339 to 0.5469 (35% increase) through optimized preprocessing pipeline.
  • Managed and preprocessed a dataset of 10,000 images (5,000 paired sets) to enhance model training efficiency.
Computer VisionMachine LearningGaussian filteringBilateral Histogram EqualizationCanny Edge DetectionData optimizationDataset balancingNormalizationBatch processingPyTorch

Skills

Technical

PythonPython
Machine Learning
Computer Vision
PyTorchPyTorch
C++C++
Java
HTMLHTML
CSSCSS
JSON
Transfer learning
TensorFlowTensorFlow
LinuxLinux
PHPPHP
SQLSQL
REST
MySQLMySQL
ONNX Runtime
TensorRT

Languages

Urdu
Pashto
English
Arabic

Projects

AI-Based Admission Prediction Model

Developerpersonal
Developed a machine learning model using Linear Regression to predict student admissions. Implemented with Python and Gradio for an interactive interface.
PythonGradioLinear RegressionMachine Learning

EduBridge Manager – Web Engineering Project

Full-stack Developeracademic
Designed and developed a full-stack web application using HTML5, CSS3, PHP, JavaScript, and SQL to manage educational resources and user interactions.
HTML5CSS3PHPJavaScriptSQL

Household Chore Management System

Developerpersonal
Built a Java-based OOP application to assign, track, and evaluate household chores, providing rewards or penalties based on performance.
JavaOOP

GeoShield — AI Disaster Monitoring System

Lead Developerpersonal
AI-based disaster monitoring system designed to bridge the gap between manpower and disaster zones by providing near-instant analysis and automated alerts to authorities.
Siamese Neural NetworksCNNASPP architectureTensorFlowAI image analysisDamage segmentationWeb-based

Education

Bachelor of Science in Software Engineering

National University of Computer and Emerging SciencesSoftware EngineeringAug 2022 – Jun 2026

Thesis. GeoShield — AI Disaster Monitoring System

Coursework

Programming Fundamentals (PF)Object-Oriented Programming (OOP)Data Structures and Algorithms (DSA)Database Management Systems (DBMS)Software Requirements Engineering (SRE)Software Design and Architecture (SDA)Web EngineeringArtificial Intelligence (AI)

Recognition

Awards

2nd Position – FPSC Coding Competition

FPSC2024

20th Position – IEEE Coding Competition, Pakistan

Institute of Electrical and Electronics Engineers (IEEE), Pakistan2024

Best Presentation Award

National University of Computer and Emerging Sciences, Peshawar2022
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