Software Engineer | Actuary | Technologist
I exist at the intersection of quantitative rigor and hacker curiosity. I don't just write code; I architect resilient systems, harden infrastructure, and accelerate Time-to-Market through rapid, high-fidelity prototyping.
My workflow is defined by a relentless pursuit of efficiency and security.
- The Builder's DNA: My daily driver is Fedora, and I manage my own hardened Ubuntu LTS servers. I believe in understanding the stack from the kernel up to the cloud.
- Risk-Aware Engineering: Leveraging my Actuarial background, I treat software architecture as a risk management problem. Every dependency is a liability; every test is an insurance policy.
- Augmented Velocity: I specialize in integrating LLMs into the SDLC, reducing boilerplate to focus on complex logic. I use technology to compress delivery cycles without sacrificing quality.
- The Standards: TDD is non-negotiable. If it isn't automated, it's broken. I build Event-Driven Microservices designed for infinite scale and zero-trust security.
I am constantly experimenting with network configurations, self-hosted services, and new paradigms.
| Domain | Current Focus |
|---|---|
| Languages | Python (Advanced), C# (.NET), TypeScript, SQL, Bash |
| Infrastructure | Docker, Kubernetes, Terraform, Linux Hardening (Fail2Ban/Auditd) |
| Architecture | Event-Driven (AWS SQS/SNS), Serverless, Microservices |
| Data | PostgreSQL, DuckDB (In-Memory Analytics), Redis |
| Tools | GitHub Actions (CI/CD), Neovim/VS Code, Local LLMs |
[PrivaSee BI Ecosystem] A self-hosted, zero-latency analytics engine.
- Innovation: Decoupled OLTP/OLAP using DuckDB to bypass enterprise data warehousing costs.
- Performance: Sub-second rendering of millions of records via Python-native architecture.
[Serverless OCR Orchestrator] Event-driven document ingestion pipeline.
- Scale: Asynchronous processing of burst workloads using AWS Lambda.
- Security: Full IAM governance and PII redaction workflows.