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Computer Engineering at AUT
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AUT
Data Scientist
June 30, 2026 – Present
TS-Hadamard-CS
November 28, 2025 – November 28, 2025
2D Total Sequency Ordered Hadamard Compressive Sensing (under review at The Visual Computer)
View Projecthigh-frequency-geo-app
September 5, 2024 – September 5, 2024
A Swift-based application that captures location, speed, and magnetic heading data from a mobile device at a frequency of 50 Hz.
View ProjectSmart-road-lines-detection_and_integration_with_GIS
August 13, 2024 – November 21, 2024
Automated road lines detection using vehicle-captured images and integration with Geographic Information System (GIS) for enhanced road management and autonomous vehicle navigation.
View Project8-Queens-Problem
July 1, 2024 – July 1, 2024
Implementing a genetic algorithm in Python to solve the 8-Queens problem, a classic combinatorial optimization challenge where 8 queens are placed on an 8×8 chessboard without attacking each other.
View ProjectMyTorchLite
May 21, 2024 – May 21, 2024
MyTorch: A lightweight PyTorch-inspired framework for effortless MLP neural network creation and training.
View ProjectPyTorch-CIFAR10-Image-Classification
April 27, 2024 – April 27, 2024
A PyTorch implementation of a convolutional neural network (CNN) for image classification on the CIFAR-10 dataset.
View Projectandroid-weather-app
April 13, 2024 – April 22, 2024
Simple Android app offering real-time weather updates and air pollution monitoring using Kotlin.
View ProjectURL-shortener
May 15, 2023 – May 21, 2023
Cloud Computing course, URL shortener using docker.
View ProjectSearch-Engine
April 26, 2023 – September 11, 2024
Persian Search Engine, Information Retrieval Project.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse technical areas, including machine learning, mobile development, and cloud computing. However, the experience section lists a current role as 'Data Scientist' starting in the future (2026), which is unusual and lacks detail. This makes it difficult to fully assess cultural fit and alignment with a typical Data Scientist role's expectations for collaboration and project lifecycle involvement. The projects are all personal, indicating self-motivation but lacking evidence of team collaboration in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.