PhD Candidate in Computer Science @ Texas A&M | ML, Trustworthy AI, Security & Privacy Researcher
Welcome to my GitHub! I am a researcher specializing in the intersection of machine learning, security, privacy, and cryptography. My work focuses on developing novel AI methods and rigorously validating them on real-world datasets to build more secure and trustworthy systems.
| Actively seeking full-time roles as an Applied Scientist, Research Scientist, Data Scientist, Machine Learning Engineer, or Software Engineer starting in 2026. |
- Deep learning and LLM-based frameworks for large-scale password analysis and honeyword detection.
- Explainable AI methods to assess cryptographic indistinguishability of lightweight block ciphers and encryption schemes.
- Robust and verifiable secure multi-party computation (MPC) protocols for ML inference in untrusted cloud environments.
- Advanced MPC techniques for privacy-preserving and auditable ML inference.
- Security and ethics of Small Language Models, including quantization-induced vulnerabilities and on-device risks.
- Practical defenses for browser fingerprinting and side-channel attacks in real-world systems.
- Open-source projects in AI security, applied cryptography, and privacy-preserving machine learning.
- LLM evaluation and safety frameworks, especially for on-device or resource-constrained models.
- Tools and benchmarks for trustworthy ML and secure inference pipelines.
Note: If you’re working on AI for security, cryptography, or privacy and want a research collaborator, I’d love to chat.
- Deep learning for cybersecurity (passwords, traffic analysis, browser fingerprinting).
- Computer vision, including 3D point-cloud data for agriculture and remote sensing.
- PyTorch, TensorFlow, MLflow, LangChain, Hugging Face, LlamaIndex, vLLM, and modern ML tooling.
### 🛠️ Languages & Tools
- Languages: Python, C, C++, Java, SQL, Bash
- AI/ML: PyTorch, TensorFlow, scikit-learn, JAX, Optuna, NNI, LIME, DeepEval, LangChain, CausalML, LlamaIndex, DeepSpeed, Hugging Face Transformers, MLflow, ONNX, vLLM
- Cloud & Data: AWS SageMaker, Databricks, Spark, Airflow, Docker, Git, CUDA/cuDNN, vector databases
- Email: danij@tamu.edu
- LinkedIn: linkedin.com/in/danijimmy979