AI Engineer · Software Engineer

Mert Cihan
Bayır

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I build end-to-end AI systems — from RAG-powered chatbots and LLM pipelines to machine learning, deep learning and computer vision models deployed to production and mobile.

RAG LLM Machine Learning Deep Learning Computer Vision
person · mert_cihan · 0.99
Mert Cihan Bayır
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01

About

the engineer behind the models

Software Engineer specialized in Artificial Intelligence, Machine Learning, Computer Vision, and Kotlin-based mobile applications. Experienced in end-to-end AI pipelines including LIDAR data annotation, feature engineering, model training, mobile deployment (TFLite), workflow automation, and containerized systems.

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Years Experience
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Completed Projects
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Model Accuracy
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Experience & Education

my professional journey

VEXPO — AI Engineer

2026 — Present
  • Working as an AI Engineer developing artificial intelligence solutions.
  • Designing and implementing machine learning models and AI pipelines.
  • Developed RAG-based (Retrieval-Augmented Generation) chatbot systems for intelligent document querying and customer support.
  • Contributing to AI-driven product development and innovation.
Artificial Intelligence Machine Learning RAG Chatbot AI Engineering

Google Artificial Intelligence and Technology Academy

2025
  • Completed Google-certified Artificial Intelligence and Machine Learning courses.
  • Developed AI-driven projects during hackathon and bootcamp programs.
  • Built a React-based platform generating fully AI-driven personalized daily learning plans.
  • Designed an educational AI system that guides users to discover answers instead of providing direct responses.
  • Completed entrepreneurship and innovation-focused training.
Google Certified React Hackathon

Ford Otosan — Data Annotator

2023 — 2025
  • Annotated large-scale LIDAR point cloud datasets for autonomous driving perception systems.
  • Labeled 3D objects such as vehicles, pedestrians, and road elements to support detection and tracking models.
  • Performed annotation validation and quality control to ensure dataset consistency and accuracy.
LIDAR 3D Annotation Autonomous Driving

Ford Otosan — AI Intern

2024
  • Developed a deep learning-based assistant model to accelerate data annotation workflows.
  • Improved labeling efficiency by reducing manual annotation time.
Deep Learning Automation

MKU Technology — AI Intern

2024
  • Worked in the AI team of an early-stage gender detection project.
  • Contributed to data preprocessing, feature extraction, and model evaluation pipelines.
Machine Learning Feature Engineering

Sakarya University — Software Engineering

2021 — 2025

Bachelor's Degree in Software Engineering.

Bachelor's Software Engineering
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Projects

detected models & systems
yolov11n · 0.995

Turkish Coffee Fortune Telling AI

Android application that generates personalized fortune interpretations based on coffee cup types, developed as a graduation project.

  • Created and manually annotated a custom dataset of 8,049 images.
  • Trained a YOLOv11n classification model achieving 99.5% accuracy.
  • Converted the model to TFLite and integrated it into a Kotlin-based Android application.
YOLOTFLiteAndroidKotlin
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random_forest · 0.964

Early Gender Detection

Machine learning model that detects gender using audio data.

  • Converted raw audio data into structured datasets using feature extraction and normalization techniques.
  • Developed a Random Forest model achieving 96.4% accuracy.
  • Random Forest model - 96.4% accuracy
Random ForestAudio ProcessingFeature Engineering
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eeg_signal · 0.90

EEG-Based Yes/No Detection

System that detects real-time cognitive yes/no responses using brain waves.

  • Collected EEG data using a 14-channel Emotiv EEG device.
  • Extracted signal-based features and trained a Random Forest model achieving approximately 90% accuracy.
  • Successfully detected real-time cognitive yes/no responses.
EEGSignal ProcessingReal-time
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Skills

technical competencies

Programming

PythonJavaKotlin

AI & LLM

RAGLLMChatbotPrompt Engineering

Machine Learning

Random ForestSVMFeature EngineeringSignal Processing

Deep Learning & CV

YOLOCNNsTFLiteComputer Vision

Mobile

AndroidTFLite Integration

DevOps & Automation

DockerKubernetesn8n AutomationGit & GitHub
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CV / Resume

download in English or Turkish

English CV

Professional CV in English

Turkish CV

Professional CV in Turkish

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Contact

let's build something intelligent