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Erdem B. AI, Cloud and Computer Vision

My name is Erdem B. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, TensorFlow, YOLO, OpenCV, pandas, etc.. I hold a degree in Master's degree, Bachelor's degree. Some of the notable projects I've worked on include: AI-Powered Language Learning Assistant with Generative Vision, AI-Powered Exam Proctoring System, Unimpeded Walking with Deep Learning, Credit Card Fraud Detection using Machine Learning. I am based in Seben/Bolu, Turkey. I've successfully completed 4 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • AI, Cloud and Computer Vision

    0 years

  • Computer Vision

    1 Year

  • TensorFlow

    1 Year

  • YOLO

    1 Year

Additional skills

Direct hire

Potentially possible

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Experience Highlights

AI-Powered Language Learning Assistant with Generative Vision

Developed an AI Language Assistant in Python to accelerate vocabulary retention using a multi-sensory learning approach. The system uses OpenCV for real-time object recognition and orchestrates Google

AI-Powered Exam Proctoring System

Developed a real-time AI-based proctoring system using computer vision and audio analysis to uphold academic integrity during online exams. The system uses YOLOv8 for object detection to identify unau

Unimpeded Walking with Deep Learning

Aim to help visually impaired individuals walk comfortably outdoors. The system detects 11 different objects (cars, trees, people) using the SSD MobileNet V2 model , tracks tactile paving surfaces usi

Credit Card Fraud Detection using Machine Learning

Developed machine learning models to detect fraudulent credit card transactions from a real-world dataset. Addressed significant class imbalance through oversampling (SMOTE) to enhance model performan

Education

  • Berlin School of Business and Innovation, Germany

    Master's degree in Artificial Intelligence

    2025-01-01-2026-01-01

  • Dumlupinar Üniversitesi

    Bachelor's degree in Electrical and Electronics Engineering

    2016-01-01-2022-01-01

Languages

  • English (Fluent)
  • Turkish (Native or Bilingual)