Hello, I'm Mustafa Dağ BİÇER

Computer Engineer | AI & ML | Agentic AI

Specializing in AI, IoT, and modern application development.

  • Finalist at Teknofest.

  • Award winner at Sakarya Metropolitan Municipality.

Mustafa Dağ BİÇER

About Me

Award Photo

Award-Winning Project

In 2024, my RFID-Based City Navigation for the Visually Impaired project won a public-voted award at the Sakarya Metropolitan Municipality's Youth Participation Project Workshop. I developed a system using RFID to empower visually impaired individuals for safer, independent city navigation. Receiving the award from Turkey's second astronaut, Tuva Cihangir Atasever, was a proud moment.

FEC Team

Teknofest 2024 Finalist

As the founder, captain, and lead developer of the FEC team, I guided us to the finals of Teknofest 2024 in the Digital Technologies in Industry category.

Our project featured a self-navigating AGV vehicle, for which I designed a custom mesh network protocol supporting secure, scalable communication for thousands of devices. I architected the system, developed motion control and obstacle avoidance algorithms, and implemented robust, cost-effective networking solutions.

Prometheus Team

Teknofest 2022 Top 10

Co-founded Prometheus, developed a YOLOv5 deep learning model, and placed 10th in the Artificial Intelligence in Transportation competition among hundreds of teams.

Education

Academic & Community

Bachelor's in Computer Engineering from Sakarya University (GNO: 2.81). Volunteered as an instructor at the university's Robotics Club, teaching Arduino and software to young tech enthusiasts.

Experience

AI R&D Engineer Intern

Venhancer February 2025 - June 2025

Contributed to Venhancer’s R&D team, focusing on AI-driven mobile and backend development, leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to solve real-world business challenges.

Developed AI solutions for insurance company data analysis, optimizing performance and scalability using Python, TensorFlow/PyTorch, and NLP techniques, improving data processing efficiency.

Computer Vision Intern

Yeditek June 2024 - September 2024

I collaborated on various AI-driven industrial automation projects, gaining hands-on experience with the Basler camera SDK, OpenCV, and Python, increasing defect detection accuracy by 7%.

As my capstone project, I developed an industrial-standard, deep learning-based quality control software for Babe Metal, increasing product defect classification accuracy to 92%

Skills

Python
95%
Flutter
75%
MongoDB
90%
Dart
70%
PostgreSQL
80%
PyTorch
80%

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