Hi, I’m Deniz!
I’m a Master’s student based in New York City, studying Machine Learning at Stevens Institute of Technology. I created this site to keep my notes organized and build my own knowledge base. The topics you see here are drawn from my academic and professional work, as well as my interests.
Recent projects
What I have been building
Budget-Aware Long-Context Execution in LLMsSends full context when it fits, retrieves under a token budget when it does not, and reuses verified answers from a semantic cache.Python · vLLM · FAISS · Qwen3
BirdCLEF 2026 Case StudyMulti-task knowledge distillation from Google Perch v2 into EfficientNetB0 to detect overlapping bird calls in noisy field recordings.TensorFlow · EfficientNetB0 · Librosa
Automatic Tag Generation and ClusteringAn in-memory semantic knowledge graph that turns personal documents into topic-aware search and discovery.OpenAI API · sentence-transformers · KeyBERT · TextRank · NLTK · NetworkX
Knowledge base
Browse by domain
Machine LearningFoundations, math, classical ML, deep learning and reinforcement learning.
Natural Language ProcessingLanguage modeling, word vectors, tokenization and LLMs.
Computer VisionTemplate matching, filtering, and multi-scale image search.
Generative AIVAEs, GANs, and the models behind image generation.
AgentsAgent memory, benchmarks and conversational agents.
Data ScienceCRISP-DM and big data tools: Hadoop, Spark, Kafka and more.