AI & ML Engineer & Researcher.
Creator of the EGO-Optimizer algorithm.
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.
Raspberry Pi, Arduino. Developed voice-controlled wheelchair using Vosk speech recognition. Hands-on experience with GPIO, sensors, and actuators for prototyping.
Data analysis, visualization, and statistical modeling. Skilled in using Pandas, NumPy, and Matplotlib for exploratory data analysis and insights extraction.
Explore my work in AI, ML, Optimization, and Assistive Technologies.
Entropy-Guided Optimization
Immune-inspired Clustering
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.
MATLAB Onramp Courses