Projects
Professional systems and applied engineering work across cybersecurity, data pipelines, and AI-assisted knowledge workflows.
Featured Projects
Three projects that best represent the current professional signal: security-oriented data systems, applied ML, and LLM-assisted compliance tooling.
PQ-SAT
PQC readiness and cryptographic visibility at scale.
- Python
- Polars
- DuckDB
- PostgreSQL
MalwareMind
End-to-end AI security demo that converts executable binaries into image representations for CNN-based malware family classification.
- Python
- TensorFlow
- FastAPI
- Vue.js
Cybersecurity Compliance Intelligence
Structured regulatory mapping database for cross-referencing cybersecurity standards and compliance frameworks.
- Python
- SQLite
- GraphQL
- Metabase
Project Archive
A compact archive of shipped and professional work. Full case studies will be expanded section by section.
- PQ-SAT
PQC readiness and cryptographic visibility at scale.
- Python
- Polars
- DuckDB
- PostgreSQL
- MalwareMind
End-to-end AI security demo that converts executable binaries into image representations for CNN-based malware family classification.
- Python
- TensorFlow
- FastAPI
- Vue.js
- Cybersecurity Compliance Intelligence
Structured regulatory mapping database for cross-referencing cybersecurity standards and compliance frameworks.
- Python
- SQLite
- GraphQL
- Metabase
- Web Scraping & Data Extraction Pipelines
Repeatable Python extraction workflows that turn inconsistent semi-structured web sources into structured data for downstream analysis.
- Python
- Requests
- Selenium
- Airflow
By Domain
The same work viewed through domain lenses: AI, cybersecurity, and data engineering.
AI / ML
Applied models and retrieval systems where AI supports concrete security and knowledge workflows.
Cybersecurity
Security-oriented engineering across cryptographic visibility, malware analysis, and compliance intelligence.
Data Engineering
Pipelines, analytics, and structured data systems for messy real-world inputs.