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Open to AI / Robotics roles

Read Aloush

Computer Vision · Embedded AI · Autonomous Systems

AI & Robotics Engineer and Information Technologies Master's student with proven experience in computer vision, embedded AI, and autonomous systems. Demonstrated success in deploying high-accuracy deep learning models (>97%) on edge devices such as the Raspberry Pi, and engineering TÜBİTAK-funded autonomous drone projects. Adept at bridging the gap between advanced software architectures (ROS2, TensorFlow, PyTorch) and industrial automation systems.

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    Read Leva Alalloş

    Konya, Türkiye

    What is new, straight from me

    Announcements

    2026-08-10 · Milestone

    Master's programme has started

    I have begun the Computer Engineering master's programme at Selçuk University. The research direction is edge inference for autonomous systems — the same thread as the drone and the sorting line, but with the compute budget taken seriously.

    2026-09-02 · Milestone

    Computer Programming programme has started

    I have begun the Computer Programming programme at Istanbul University. The focus is on software development and embedded systems — the same thread as the IoT gateways and the automated sorting line, but with core programming principles taken seriously.

    2026-05-22

    Mechatronics Engineering programme completed

    I have graduated from the Mechatronics Engineering programme. The focus was on the integration of mechanics, electronics, and software — the same thread as the automated sorting line and the multi-channel IoT gateways, but culminating in a formal engineering foundation.

    2026-05-20 · Project

    Waste sorting system finished at 97.69%

    The internship project is complete. Five waste streams, classified in real time on a Raspberry Pi, wired into the conveyor through a ROS2 bridge. The write-up is in the projects section.

    Who is behind the signature

    About

    AI & Robotics Engineer and Information Technologies Master's student with proven experience in computer vision, embedded AI, and autonomous systems. Demonstrated success in deploying high-accuracy deep learning models (>97%) on edge devices such as the Raspberry Pi, and engineering TÜBİTAK-funded autonomous drone projects. Adept at bridging the gap between advanced software architectures (ROS2, TensorFlow, PyTorch) and industrial automation systems.

    The stack I build with

    Skills

    Programming

    • Python — 95%
    • C++ — 85%
    • C — 80%
    • C# — 70%
    • MATLAB — 75%

    AI & Computer Vision

    • OpenCV — 93%
    • TensorFlow — 90%
    • PyTorch — 90%
    • Deep Learning — 92%
    • Machine Learning — 88%

    Robotics & Automation

    • ROS2 — 87%
    • Pixhawk (PX4/ArduPilot) — 82%
    • PLC — Siemens TIA Portal — 80%
    • Control Systems — 84%

    Tools & Hardware

    • Git — 88%
    • Linux (Ubuntu) — 90%
    • Raspberry Pi — 92%
    • STM32 — 78%
    • Industrial Control Panels — 80%

    Where I have shipped

    Experience

    AI & Robotics Intern

    Selçuk University · Feb 2026 – May 2026

    Python, OpenCV

    • Led the development of an end-to-end computer vision pipeline on Raspberry Pi, classifying waste across 5 distinct categories.
    • Optimized and deployed edge AI models, achieving 97.69% real-time classification accuracy.
    • Integrated image recognition software with physical conveyor automation systems.

    Computer Vision & AI Intern

    Selçuk University · Jun 2025 – Aug 2025

    TensorFlow, PyTorch

    • Designed and trained CNN architectures for medical image analysis, reaching 98.43% accuracy in tumor classification.
    • Curated and preprocessed a dataset of 2,867 high-resolution MRI images with robust augmentation to eliminate overfitting.
    • Enhanced clinical image analysis performance by benchmarking precision and recall against standard medical datasets.

    Automation Department Intern

    Mizan Mekatronik · Jun 2024 – Aug 2024

    Siemens TIA Portal

    • Programmed PLC systems and designed HMI screens using Siemens TIA Portal.
    • Assembled and wired industrial control panels and sensor distribution networks.
    • Diagnosed and resolved hardware/software faults during system commissioning.

    Things I built and measured

    Projects

    AI-Powered Automated Waste Sorting System

    Feb 2026 – May 2026

    • Engineered an automated recycling system by training custom CNN models on a dataset of 12,000+ images.
    • Optimized memory footprint for Raspberry Pi deployment, achieving 97.69% accuracy across 5 waste streams.
    • Developed a ROS2 communication bridge to stream real-time inferences directly to conveyor control units.
    • CNN
    • Raspberry Pi
    • ROS2
    • OpenCV

    Brain Tumor MRI Analysis System

    Jun 2025 – Aug 2025

    • Developed an end-to-end deep learning platform for automated tumor classification and lesion segmentation.
    • Attained a peak accuracy of 98.43% on 2,867 clinical MRI scans using PyTorch and spatial attention.
    • Implemented OpenCV image processing filters to enhance soft-tissue contrast before model training.
    • PyTorch
    • Medical Imaging
    • Segmentation
    • Attention

    Foldable-Wing Autonomous Drone

    Aug 2025 – Jan 2026

    • Designed a foldable-wing autonomous UAV with a multi-sensor payload for real-time air quality tracking.
    • Applied machine learning algorithms to parse telemetry data and predict local environmental pollution patterns.
    • Awarded research funding as principal developer under the TÜBİTAK 2209-A Undergraduate Research Project program.
    • UAV
    • Pixhawk
    • Telemetry ML
    • TÜBİTAK 2209-A

    Academic background

    Education

    Master's Student in computer engineer

    Selçuk University · 2026 – Present

    Bachelor of Mechatronics Engineering

    Selçuk University · 2022 – 2026

    Relevant coursework: Robotics, Artificial Intelligence, Computer Vision, Embedded Systems, Control Systems, Industrial Automation.

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