I am an eager AI Engineering student at Hacettepe University focused on solving real-world, data-driven problems through practical implementation in Python and Java. I am currently focused on Deep Learning and Neural Network architectures.
- Languages: Python, Java, C++, SQL
- AI/ML: Machine Learning, Deep Learning, Neural Networks, Clustering, Predictive Modeling.
- Software Development: Object-Oriented Programming (OOP), Data Structures & Algorithms.
Architected a deep learning system utilizing Dual-Trace LSTMs to forecast multi-distribution cloud telemetry. Implemented Huber Loss for outlier resilience and engineered a high-velocity pipeline optimized for CUDA acceleration, achieving a 95% reduction in training latency. The baseline model achieves a global MAE of 78.85, maintaining a <1% average error rate across 358,000+ test samples from the Bitbrains GWA-T-12 dataset.
Developed a data science pipeline to analyze power plant data. Implemented clustering and predictive models including Logistic Regression, KNN, and Decision Trees to optimize performance metrics and forecast energy output.
Engineered a frame-synced 2D shooter using JavaFX. Implemented an AnimationTimer rendering loop to ensure 60 FPS performance alongside complex Object-Oriented systems for game entities, collision detection, and real-time input handling.
- Finalist (2026) – HUPROG Algorithm Competition.
- LinkedIn: linkedin.com/in/furkansanlav
- Email: frknsanlav42@gmail.com