Building intelligent systems from model to real-world product.

Programming in Python

Meta / Coursera

Issued: Jul 2024

PythonProgrammingBackend Development+1

Innovating with Google Cloud AI

Google cloud

Issued: May 2026

MLAI toolsTPU

Database Design and Database Programming with SQL

Oracle Academy

Issued: Jul 2024

SQLDatabase DesignDatabase Programming+1

Database Structures and Management with MySQL

Meta / Coursera

Issued: Mar 2024

MySQLDatabase ManagementDatabase Structures+1

Introduction to Databases

Meta / Coursera

Issued: Feb 2024

DatabasesSQLData Management+1

IUCDL Program

Ibb University - Center for Computer & IT

Issued: Jan 2020

Information TechnologyMicrosoft WordMicrosoft Excel+4

Journey / Timeline

Deployment evolution and research milestones

A systems-engineer roadmap from foundations to production AI architectures.

2019 — 2020

Built My Technical Foundation

Ibb University - Center for Computer & IT

Completed the IUCDL program and built a strong foundation in information technology, computer basics, Windows, internet tools, and Microsoft Office applications. This stage helped me become comfortable with digital tools and prepared me for deeper technical learning.

2024

Started Programming and Database Learning

Self-Learning & Online Courses

Focused on learning programming fundamentals, Python, SQL, database design, and relational database management. This stage helped me understand how software systems store, process, and organize data.

Jul 2024 — Aug 2024

Machine Learning & Deep Learning Internship

Scramblebit Pazarlama Programlama

Completed an onsite internship focused on machine learning, deep learning, and natural language processing. I learned the core concepts behind AI models, trained models, tested their performance, and gained practical exposure to the AI development workflow.

2024 — Present

Started Building Computer Vision Projects

Independent Projects

Began building practical computer vision systems that connected AI models with real-world inputs and hardware. Projects included gesture-based LED control, robot arm control, OCR field extraction, face recognition, and real-time visual interaction systems.

2024 — Present

Expanded into Full-Stack AI Applications

Independent Projects

Moved beyond standalone models by integrating AI systems into complete applications with frontend interfaces, backend APIs, databases, real-time communication, and hardware components. This stage shaped my direction as an AI engineer who can turn models into usable products.

Jun 2025 — Jul 2025

Federated Learning Internship

Karabük University

Completed a research-focused internship under Doç. Dr. Emrullah SONUÇ, studying federated learning and decentralized machine learning. I worked with Hugging Face datasets and trained models using the federated learning concept, gaining experience in privacy-aware distributed AI systems.

2025 — Present

Built Multimodal AI and LLM Systems

Independent Projects

Developed projects combining computer vision, NLP, speech transcription, and LLM-based summarization. This included speaker detection using MediaPipe Face Mesh, Whisper-based transcription, LangChain summarization, YouTube video processing, and PDF summarization workflows.

Feb 2026 — Present

Started Professional AI System Integration

Ultimate Solution

Started working as an AI Engineering Intern, focusing on adding AI models, chatbots, and intelligent automation features to business systems, accounting systems, and personal management platforms built with .NET and web technologies.

2026 — Present

Building a Long-Term AI Engineering Portfolio

Personal Brand

Started building a professional portfolio platform to present projects, services, experience, skills, and future AI demos. The goal is to position myself as an AI engineer who combines machine learning, computer vision, LLMs, backend systems, frontend development, and real-world product integration.

Latest Updates

Recent progress and notes

Short updates on projects, learning, certificates, events, and technical progress.

View All Updates

certificateMay 18, 2026

Innovating with Google Cloud AI

I’m excited to share that I have obtained the Innovating with Google Cloud AI certification, strengthening my understanding of AI solutions, cloud-based machine learning, and Google Cloud’s AI ecosystem.

achievementMay 18, 2026

Tübitak

TÜBITAK 2209-A University Students Research Projects Support Program.

AI Case Studies

Production systems, not notebook demos

Selected work framed around problem, architecture, model/system stack, deployment path, and product outcome.

View All Projects

AI Case Study

Completed

ReactTypeScriptViteTailwind CSS+14

Property Rental Management ERP

Property Rental Management ERP is a full-stack property rental management ERP built to replace manual notebook-based rent tracking with a structured digital system. The platform allows property owners to manage multiple buildings and apartments, track tenant occupancy, create rental contracts, automatically generate monthly rent obligations, record partial and full payments, detect overdue balances, monitor contract expirations, and view operational analytics from a centralized dashboard. The system also includes audit history, multi-admin attribution, business settings, security hardening, and a visual building explorer that makes apartment occupancy easy to understand.

Problem

Architecture

Deploy

AI Case Study

Completed

PythonFastAPIReactTypeScript+11

FireWatch — AI-Powered Wildfire Risk Prediction and Fire/Smoke Detection

FireWatch is a drone-ready wildfire monitoring and decision-support prototype developed for the Karabük region in Türkiye. It combines weather-based wildfire risk prediction with real-time fire and smoke detection from camera or drone-ready video sources. The system uses a two-stage machine learning pipeline. A HistGradientBoostingRegressor predicts the continuous Fire Weather Index from a locked 34-feature weather schema, while a RandomForestClassifier provides a safety-oriented high-risk decision layer. A custom YOLOv8 model detects visible fire and smoke and creates persistent alerts for operator review. The complete platform includes a FastAPI backend, React and TypeScript dashboard, SQLite persistence, scheduled risk checks, live monitoring, detection alerts, system and model information, risk-map context, and drone-ready support.

Problem

Architecture

Deploy

AI Case Study

Completed

PythonOpenCVMediaPipe Face MeshWhisper+5

Speaker Detection, Tracking & AI Summarization System

This project is a multimodal AI system focused on speaker detection, tracking, speech segmentation, transcription, and summarization. It uses MediaPipe Face Mesh to analyze facial landmarks and determine whether a detected person is speaking based on lip movement ratios. The system can identify active speakers in video, segment speaker-specific audio, transcribe speech using Whisper, and generate concise summaries using LangChain. It also supports YouTube videos and PDF documents, allowing users to extract and summarize content from multiple sources.

Problem

Architecture

Deploy

AI Case Study

Completed

PythonOpenCVOCRRegular Expressions+1

OCR-Based Card Field Extraction System

This project focuses on extracting structured information from card images using image processing, OCR, and regular expressions. The system processes images of ID cards, bank cards, and similar field-based cards, extracts visible text, and organizes the detected data into meaningful fields. It demonstrates how OCR can be used as a practical automation layer for document understanding and data entry workflows.

Problem

Architecture

Deploy

AI Case Study

Completed

PythonOpenCVMediaPipeArduino+2

Computer Vision Controlled Robot Arm

This project explores the connection between computer vision and robotics by implementing a robot arm that can be controlled through visual hand-based input. Instead of relying only on traditional controllers, the system uses vision-based detection to interpret user movement and convert it into physical robotic motion. The project helped build practical experience in robotics, hardware control, and real-time AI interaction.

Problem

Architecture

Deploy

AI Case Study

Completed

React.jsFastAPIPythonOpenCV+3

Secure Face Recognition Attendance System

This project demonstrates how a face recognition model can be integrated into a real-world attendance application. The system uses a React interface connected to a FastAPI backend to process live frames, verify user identity, and detect whether the presented face is real or spoofed. The prototype highlights how face recognition and anti-spoofing can work together to create a more secure and efficient attendance workflow.

Problem

Architecture

Deploy

AI Case Study

Completed

PythonOpenCVMediaPipeArduino+2

Computer Vision LED Control System

This project demonstrates the integration of computer vision with embedded hardware by allowing LED flashes to be controlled using hand gestures. The system uses MediaPipe’s pre-trained hand detection model to recognize hand signals in real time, then sends the detected commands to an Arduino microcontroller responsible for controlling the LEDs. It was built as a practical exploration of how AI-powered perception can interact with physical electronic components.

Problem

Architecture

Deploy

AI Case Study

Completed

React.jsFastAPIMySQLWebSocket+8

AI-Powered Smart Parking Management System

This project is a complete intelligent parking management system that combines computer vision, OCR, embedded systems, drone monitoring, and full-stack web technologies. The system detects and recognizes vehicle license plates, monitors parking slot availability in real time, controls a physical gate using hardware components, and displays live system updates through a React-based interface connected to a FastAPI backend.

Problem

Architecture

Deploy

AI Product Engineering

Services built around intelligent systems

LLM products, computer-vision workflows, automation platforms, AI integrations, dashboards, APIs, and deployment-ready ML systems.

AI System Development

End-to-end development of intelligent systems that transform machine learning models into practical, production-ready applications. This service focuses on building AI-powered solutions that solve real business and engineering problems, from model integration to backend APIs and user-facing interfaces.

Custom AI-powered application development
Machine learning model integration
Backend API development for AI systems
Data processing and prediction workflows
Real-world AI system architecture

LLM & Chatbot Engineering

Design and development of intelligent chatbot and LLM-based systems using modern language model tools. This includes building assistants, retrieval-based systems, document summarizers, and AI workflows that can understand, process, and generate useful responses from structured or unstructured data.

Custom AI chatbot development
LLM integration with applications
Document and PDF summarization
Retrieval-augmented generation workflows
LangChain-based AI pipelines

Computer Vision Solutions

Development of computer vision systems for detection, recognition, tracking, OCR, automation, and real-time visual intelligence. This service is ideal for projects involving cameras, image processing, video analysis, object detection, face recognition, and visual monitoring.

Object detection and tracking systems
Face recognition and anti-spoofing
OCR and text extraction from images
Real-time video processing
Camera-based automation workflows

Full-Stack AI Applications

Building complete AI applications that combine frontend interfaces, backend APIs, databases, authentication, real-time communication, and AI models. This service turns prototypes and machine learning ideas into complete usable products.

React and modern frontend development
FastAPI backend development
Database design and integration
AI model API integration
Real-time dashboards and WebSocket systems

ML Model Deployment

Deployment and integration of machine learning models into backend systems, APIs, dashboards, and production-style workflows. This service helps move models from notebooks or scripts into usable applications that can receive inputs, return predictions, and support real users.

Model serving through APIs
FastAPI-based inference endpoints
Prediction pipeline development
Model integration with web apps
Performance and reliability improvements

Embedded AI & Hardware Integration

Integration of AI and computer vision with physical hardware systems such as Arduino, ESP32-CAM, servo motors, sensors, displays, and robotics components. This service focuses on connecting intelligent software with real-world devices.

Arduino and microcontroller integration
Computer vision hardware control
Serial communication between AI and devices
Robotics and servo control systems
Prototype development for smart devices

AI Automation & OCR Systems

Development of automation systems that use OCR, image processing, text extraction, and intelligent parsing to reduce manual work. This service is useful for extracting data from cards, forms, documents, images, and repetitive business workflows.

OCR-based data extraction
ID card and bank card field extraction
Image preprocessing pipelines
Regex-based field parsing
Automation of repetitive data entry tasks

Research Prototyping & MVP Development

Rapid development of technical prototypes and MVPs for AI, computer vision, robotics, automation, and full-stack software ideas. This service helps convert early concepts into working demos that can be tested, presented, or improved into full products.

AI proof-of-concept development
Prototype system architecture
Technical MVP development
Research idea implementation
Demo-ready project development