* Developed a large-scale .NET malware detection pipeline over 5M+ malicious and benign samples, achieving a 10% relative F1 improvement over prior academic baselines.
* Designed cross-platform XDR anomaly detection using Markov-chain process models and ancestry trees to identify anomalous execution patterns across macOS and Windows.

* Led research on MalwarePT, a binary-level foundation model for malware analysis, covering pretraining, downstream evaluation, and robustness analysis.
* Built ML/LLM pipelines that map malware behavior to malicious capabilities, convert attack evidence into CTI, and support automated vulnerability root-cause analysis.
* Participating in Capture The Flag (CTF) competitions as a member of team Shellphish.

* Built red-team assessment modules for RCE, lateral movement, and N-day vulnerability simulation using C, C++, C#, and Python.
* Built modular exploit payloads and post-exploitation scripts that expanded the red-team framework's coverage for enterprise assessments.

* Designed and developed a novel malware post-detection framework that identifies potentially malicious capabilities in Windows malware, outperforming existing solutions by 20% in precision and 80% in recall.
* Reverse-engineered malware executables and mapped their attack implementations to the MITRE ATT&CK Framework.

* Conducted malware analysis, documented results, and developed proof-of-concept attack methods.
* Fostered collaborative learning by teaching reverse engineering and malware analysis, promoting ongoing education.
* Participated actively in Capture The Flag (CTF) competitions as part of team bi0s