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Hello, World! ๐Ÿ‘‹๐ŸŒ

I'm someone who is passionate about AI and likes to write code, or Suca.





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HSKayman


๐Ÿ‘‹๐ŸŒ Hello, World! I'm a Ph.D. student and graduate researcher in the Electrical Engineering Department at The City College of New York (CCNY), advised by Prof. Tushar Jois and Prof. Rosario Gennaro.

My research in the Spacelab focuses on the intersection of AI and cryptography, specifically exploring Zero-Knowledge Machine Learning (ZK-ML) and Verifiable AI to provide strong security and privacy guarantees. I am also a proud recipient of the Grove School of Engineering Fellowship. Those interested in my ongoing work can peruse my curriculum vitae (CV) or my recent publications.

My passion for technology began at age five when my brother gifted me my first laptop. This early curiosity, combined with a deep interest in complex math problems, drove me to earn my Computer Science degree from Dokuz Eylul University as the highest-ranking student in my department and the entire science faculty. Since then, my exploration of technology has brought me to New York, where I also dedicated time to studying Englishโ€”an enriching experience that broadened my cultural understanding and communication skills. Today, I take immense pride in working in fields like AI and cryptography that have tremendous potential to shape the future.

  • ๐Ÿ”ฌ Research: ZK-ML, verifiable inference, and cryptography ร— AI at Spacelab (CCNY)
  • ๐ŸŽฒ Outside the lab: puzzles, chess, and philosophy (including the XXI. Turkey Philosophy Olympiad)
  • ๐Ÿงฎ I relish complex math and strategic problem-solving โ€” habits that sharpen my research
  • ๐Ÿ’ฌ Ask me about anything from hsn@kymn.com, I love to answer!
  • ๐ŸŒ Personal website: kayman.me ยท CV (PDF)





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HSKayman



Selected Public Projects

A few highlighted repositories from github.com/HSKayman:

Repository Focus
ML_ZK Trace separation, perturbation / swap attacks, and ZK-LLM related ML experiments
Towards-Verifiable-AI-with-Proofs-of-Inference Attacks, model separation, and ZK/performance experiments for verifiable ML inference
Generative_AI_For_Text RNN / attention / GPT-style text generation and chatbot studies
AI_Based_Price_Estimation LSTM crypto price estimation and virtual trading automation
BorrowRisk Loan-default prediction capstone + Streamlit deployment
Anomaly_Detection_for_Keystroke Keystroke/tap dynamics anomaly detection (Krontech internship)
Machine-Learning-Based-Static-Performance-Prediction-of-Bonded-Structural-Patch-Repairs ML failure-load prediction for bonded structural patch repairs

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