I build security-product workflows, applied cryptography experiments, and AI-assisted engineering systems.
I work at the intersection of cybersecurity products, database security, applied cryptography, and AI-assisted engineering.
My focus is turning complex technical problems into structured, measurable, and executable systems — from product requirements and technical documentation to automation workflows and cryptographic experiments.
| Area | What I Focus On |
|---|---|
| Cybersecurity Product | Database security, auditability, policy workflows, product execution |
| Research | Post-quantum cryptography, ML-KEM, implementation-level security |
| Engineering | CUDA-based cryptographic benchmarking, automation, backend workflows |
| AI Workflow | Agentic development, prompt systems, CLI tooling, developer productivity |
CUDA-based AES implementation and benchmarking work focused on GPU acceleration and cryptographic performance analysis.
CUDA · AES · Cryptography · Benchmarking · Performance Profiling
Research direction focused on quantum-safe cryptography, ML-KEM behavior, implementation risks, and blockchain security.
ML-KEM · PQC · Side Channels · Blockchain Security · Implementation Security
Public-safe experiments around AI agents, CLI tools, prompt systems, and automation-heavy engineering workflows.
AI Agents · CLI Tools · Prompt Engineering · Automation · Developer Workflows
Game and interactive software experiments from my earlier engineering background.
Gameplay Systems · Unity/C# · Interactive Design · Frontend · Product Thinking
| Category | Tools & Technologies |
|---|---|
| Languages | Python · Java · JavaScript · SQL · C/C++ · CUDA |
| Security | Database Security · Audit Logs · Access Control · Policy Enforcement |
| Databases | Oracle · MSSQL · PostgreSQL · MySQL · DB2 · SAP HANA |
| Engineering | Docker · Linux · Git · GitHub Actions · Bash |
| Product | Jira · Confluence · Agile · Roadmapping · Technical Documentation |
| Research | Cryptography · Post-Quantum Cryptography · Blockchain Security |
| AI Workflow | Claude Code · Gemini CLI · Codex · Agentic Development |
- Building better cybersecurity product workflows
- Researching post-quantum implementation security
- Improving AI-assisted engineering systems
- Creating public-safe technical knowledge bases
- Turning product ambiguity into executable engineering work
| Repository Direction | Purpose |
|---|---|
| CUDA-AES | CUDA-based cryptographic benchmarking |
Security product thinking · Research discipline · Engineering execution