AI & ML Engineer • Researcher • Developer • 3D Artist.
Exploring deep learning, optimization, and creative problem solving.
TensorFlow, PyTorch, Scikit-learn. Built CNNs, RNNs, reinforcement learning agents. Comfortable with data pipelines, preprocessing, and visualization (Pandas, NumPy, Matplotlib).
Experience in C#, SQL, MATLAB, and JavaScript. Built web apps and backend tools. Knowledge of version control (Git/GitHub), software design patterns, and debugging.
Blender for modeling, rendering, and animation. Focus on creative visualization, prototyping, and integrating design with technical projects (UI/UX concepts, Figma).
Explore my work in AI, ML, Optimization, and Assistive Technologies.
Immune-inspired Clustering
Entropy-Guided Optimization
ResNet50 + ConvLSTM + CBAM
Random Forest + TRCC
DQN + DDQN RL
YOLOv8 + Grad-CAM
MATLAB CNN GUI
RPi + Vosk Speech
Düzce University • Specialized in AI, ML, Cybersecurity.
Thesis: Deep Q-Learning for Tic-Tac-Toe. Major project: Video Object Segmentation with ResNet50 + ConvLSTM + CBAM.
Flexisb Digital Design & Software Services • Junior Engineer (Networking)
Worked on enterprise networking, system integration, and supporting digital service design. Contributed to troubleshooting, configuration, and design of network infrastructure.
Developed TRCC clustering algorithm (immune-inspired). Designed EGO optimizer for complex search landscapes.
Biomedical ML: Breast Cancer Detection (YOLOv8), Blood Clot Detector (MATLAB CNN).
Created Car Hacking IDS with Random Forest + TRCC clustering. Explored Complex Network Analysis: centrality, clustering, PageRank.
Assistive Voice-Activated Wheelchair (Raspberry Pi + Vosk). Early biomedical ML with MATLAB classifiers.
Joined Düzce University. Focused on programming, math, and system fundamentals.