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najmulhasan-code/README.md

My research centers on language models and AI alignment. I am particularly interested in how model design and training choices shape capabilities and behavior, and in developing models that are more capable, reliable, and aligned.

I hold a B.S. in Computer Science, with minors in Mathematics and Physics, from the University of North Carolina at Pembroke, where I worked with Dr. Prashanth BusiReddyGari and Dr. Shaohu Zhang. I was an AI Safety Research Fellow at Algoverse. I completed the AI Safety Fundamentals Fellowship (AISF) with MIT AI Alignment (MAIA) and BlueDot Impact's Technical AI Safety course. I am currently participating in BlueDot Impact's Technical AI Safety Project Sprint, where I am working on language-model alignment during pretraining.

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  1. refusal-to-redirection refusal-to-redirection Public

    Refusal-to-Redirection Shifts after Safety Fine-Tuning

    Jupyter Notebook 1

  2. dpbench dpbench Public

    DPBench: A benchmark for evaluating coordination in multi-agent LLM systems under simultaneous resource contention.

    Python 3

  3. crc-screen crc-screen Public

    CRC-Screen: Certified DNA-Synthesis Hazard Screening Under Taxonomic Shift

    Python 1

  4. honeypot-protocol honeypot-protocol Public

    Honeypot Protocol

    Python 2

  5. splitcomp splitcomp Public

    Modeling when labs comply, evade, or split compute across jurisdictions and what drives each outcome

    Jupyter Notebook 1

  6. sift sift Public

    Reads raw IT tickets. Returns structured resolution paths.

    Python 1