top of page

IREM OZBILGIN

Tomorrow's Engineer..

Vize .jpg

ABOUT

Tomorrow's Software Engineer

I am a Software Engineering student focused on AI-driven autonomous systems. I see technology not merely as code, but as systems that can perceive, decide, and act in the real world.

My interest lies in building intelligent systems where software meets reality — where data transforms into decisions and automation becomes impact. For me, engineering is not about writing features, but about creating systems that are reliable, scalable, and meaningful.

I value learning, critical thinking, and long-term vision. My goal is to work on projects where artificial intelligence and autonomy shape the future through well-designed, responsible engineering.

SKILLS

Areas of Expertise

  • Artificial Intelligence & Autonomous Systems

  • Machine Learning & Model Development

  • Computer Vision & Signal Processing

  • Data-Driven Decision Systems

  • Intelligent Automation

  • Embedded & IoT-Oriented Software

  • System Architecture

  • Optimization & Algorithmic Thinking

Nov 2025 – ..

Student Assistant — Faculty of Engineering and Natural Sciences

  • Provided academic and administrative support to faculty members.

  • Assisted with course-related materials and basic departmental operations.

  • Supported student coordination and routine academic processes.

Oct 2025 - ..

Information Technologies Intern/

TNC Group

  • Developed automation scripts in Python to streamline data processing workflows.

  • Applied MATLAB for engineering modeling and analytical tasks.

  • Supported IT process optimization through applied projects.

  • Collaborated with technical teams to improve workflow efficiency and data handling accuracy.

  • Strengthened problem-solving and scripting skills in a real business environment.

Oct 2024 – Jul 2025

AI Intern /

Inteliate (London)

  • Built and fine-tuned NLP and emotion recognition models using Transformers (Hugging Face) and Python.

  • Contributed to data preprocessing, model training, and performance evaluation tasks.

  • Designed and developed front-end components with React to visualize model outputs and classification results.

  • Collaborated closely with a five-person AI research team in a remote working environment.

  • Prepared and delivered weekly progress reports summarizing development stages and results.

  • Gained practical experience in AI development lifecycle and research-oriented workflows.

WORK EXPERIENCE

EDUCATION

Bachelor of Science in Software Engineering

Maltepe University, Istanbul, Turkey
Expected Graduation: 2027

  • Program language: English

  • Focus areas: Artificial Intelligence & Autonomous Systems

  • Actively involved in technical communities and leadership roles

  • Coursework oriented toward real-world software engineering and AI applications

Additional Academic Development 

Preparatory Program in English

Maltepe University

  • Completed English preparatory year prior to starting undergraduate studies

  • Strengthened academic English and technical communication skills

VOLUNTEERING & LEADERSHIP

Google Developer Groups On-Campus Maltepe — President
 

  • Leading a student community focused on Google technologies and AI

  • Organizing technical events, workshops, and university–industry connections

  • Promoting hands-on learning and global developer culture on campus

Anka Software Club — President & Vice President
 

  • Leading one of the first software communities at the university

  • Building a strong student-driven technology culture

  • Launching student-led projects and technical learning initiatives

Swarm UAV Team — Vice President

 

  • Working in interdisciplinary teams on autonomous systems and UAV technologies

  • Supporting coordination and software development processes

  • Contributing to technical problem-solving and system integration

AI-Powered Translation Automation System

Developed an automated multilingual document translation system using Python and NLP; integrated workflow automation via FastAPI and n8n, and deployed containerized services with Docker and GitHub-based version control.

Smart Beehive Monitoring & Early Warning System

Developed low-power ESP32-S3 firmware with sensor drivers, LoRa telemetry, BLE services, OTA updates, and on-device ML using TensorFlow Lite Micro. Implemented signal fusion for anomaly detection and delivered an offline-capable local hub with web dashboard and JSON API.

Meeting and Task Management System (React)

Developed a web-based meeting and task management application using React, with state management via Hooks and Zustand, RESTful API integration, and UI design in Figma.

PROJECTS

LET'S WORK TOGETHER

iremoz381@gmail.com

bottom of page