Location: New York, NY  
    Remote: Yes  
    Willing to relocate: Yes  
    Technologies: Python, PyTorch, TensorFlow, C/C++, Julia, CUDA  
    Résumé/CV: Available upon request. <https:// www.linkedin.com/in/enisberk/>  
    Email: hire[at]enisberk dot com  
    Scholar: <https://scholar.google.com/citations?user=AH-sLEkAAAAJ&hl=en>

PhD Candidate in CS specializing in audio and multimodal data analysis. My research focuses on applying Machine Learning techniques to extract insights from various audio and sensory data modalities. I'm particularly interested in mechanistic interpretability, multi-modal LLMs, audio/speech and time-series.

Experience:

    - Developed ML models for audio classification.
    - Worked on multimodal data integration and modeling.
    - Explored low-resource ML techniques to address data scarcity.

Open to full-time research and engineering roles. I hope to conclude my interviews soon and make a decision. Please feel free to reach out if you can expedite the process.