prof_pic.jpg

Doğaç Eldenk

Evanston, IL
[email protected]

I am currently a Master’s student at Northwestern University, studying Computer Science. I worked at Carbon Health as a Software Engineer for over 4 years. I’m doing research with Prof. Stephen Xia in the Intelligent and Mobile Embedded Computing (IMEC) Lab in the areas of distributed AI/ML systems and AI efficiency.

I am looking for research engineer roles & internships on the following,

  • Distributed AI/ML algorithm design and optimization
  • Novel AI/ML architecture design and implementation
  • Edge AI/ML model design and deployment
  • AI/ML tooling and infrastructure development
  • AI efficiency and optimization

I occasionally write blog posts about topics that I find interesting, mostly related to software.

news

Jan 23, 2026 Blog moved to the personal website, from Ghost to Jekyll

latest posts

Apr 03, 2026 Setting up Ephemeral GPU workspaces in Modal for SGLang Development
Feb 03, 2026 Training language models on TPUs shouldn't be scary
Jun 11, 2025 The Case Against Dependency Injection

publications

  1. uniference.png
    UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models
    Doğaç Eldenk and Stephen Xia
    In International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys), 2026
    PDF GitHub stars
  2. earsleeve.png
    EarSleeve: Transforming Everyday Earphones into a 12-Lead ECG Sensing Platform
    Junxi Xia, Doğaç Eldenk, Hongjun Xu, and 2 more authors
    In International Conference on Embedded Artificial Intelligence and Sensing Systems (SenSys), 2026
    GitHub stars
  3. microservice.png
    Incidents During Microservice Decomposition: A Case Study
    Doğaç Eldenk and H. Alperen Çetin
    In International Conference on Evaluation and Assessment in Software Engineering (EASE), 2025
    Best Paper Award PDF
  4. unsup.png
    Learning portrait drawing with unsupervised parts
    Burak Tasdemir, Mustafa Goktan Gudukbay, Doğaç Eldenk, and 2 more authors
    International Journal of Computer Vision, 2024
    PDF

selected projects

  1. Universal DeepSeek OCR 2
    Universal DeepSeek OCR 2
    Updated version of DeepSeek-OCR and DeepSeek-OCR 2 models to support non-CUDA backends, MPS and CPU. Downloaded over 20K+ times.
    Hugging Face Downloads
  2. Defenchess – AI Chess Engine
    Defenchess – AI Chess Engine
    A high-performance C++ engine for advanced chess analysis and play. Previously ranked in the top-10 worldwide with a 3400+ ELO performance.
    GitHub stars
  3. kotlinx-protobuf-gen
    kotlinx-protobuf-gen
    Generate kotlin data classes from protobuf files that supports Kotlin Native that can be serialized and deserialized to protobuf using `kotlinx.serialization`.
    GitHub stars