Hello, I'm Mert Cihan Bayır

Software Engineer | Artificial Intelligence | Machine Learning | Mobile AI

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.

Mert Cihan Bayır
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About Me

My software engineering journey

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.

3+
Years Experience
10+
Completed Projects
99.5%
Model Accuracy
const ai = new ArtificialIntelligence();
ai.train(model, dataset);
ai.deploy(mobile, tflite);
|

Experience & Education

My professional journey

VEXPO - AI Engineer

2025 - 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

Projects

My AI and software projects

Turkish Coffee Fortune Telling AI Application

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.
YOLO TFLite Android Kotlin

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 Forest Audio Processing Feature Engineering

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.
EEG Signal Processing Real-time

Skills

My technical competencies

Programming

Python
Java
Kotlin

Mobile Development

Android
TFLite Integration

Machine Learning

Random Forest
SVM
Feature Engineering
Signal Processing

Deep Learning

YOLO
CNNs

DevOps & Automation

Docker
Kubernetes
n8n Automation

Data & Tools

LIDAR Annotation
Git & GitHub

CV / Resume

Download my professional CV in English or Turkish

English CV

Professional CV in English

Turkish CV

Professional CV in Turkish

Contact

Find me on these platforms