Career direction
I am positioning my career toward fintech, crypto, and intelligent financial systems.
I currently work at the intersection of web applications, data, integrations, and business systems. That foundation matters to me because finance software is not just about polished interfaces. It is about correctness, automation, data integrity, and systems that keep working when money and decisions depend on them.
My next step is to bring that systems-oriented mindset into fintech, especially in crypto-focused products and infrastructure. I am interested in the engineering side of markets, exchanges, financial automation, blockchain applications, and tools that help people understand or act on financial data more intelligently.
I am deliberately building toward that transition by going deeper in Rust, studying how blockchain systems are designed, and learning more about AI and machine learning. I do not want to chase trends loosely. I want to combine strong software fundamentals with financial domain knowledge and use that to build products that are fast, reliable, and actually useful.
Fintech systems and product engineering
Crypto infrastructure and blockchain development
Rust for higher-performance backend and on-chain work
AI and machine learning for intelligent financial tooling
What I bring today
Even before the transition is complete, the current skill set is already relevant.
- Building internal applications, data workflows, and integrations that support real business operations.
- Working across PHP, Django, JavaScript, SQL, Linux, APIs, and EDI instead of staying isolated in one layer.
- Using Python and data tools to turn operational data into reporting, automation, and decision support.
What I am actively learning
The goal is not to look busy. The goal is to become genuinely useful in fintech and crypto environments.
- Rust, with an emphasis on writing cleaner systems-level code and understanding how blockchain-oriented tooling is built.
- Crypto market structure, exchange APIs, trading workflows, and the infrastructure behind real-time financial systems.
- AI and machine learning concepts that can support automation, analysis, and smarter financial products.
What I am looking for
I am most interested in opportunities where I can contribute to fintech platforms, crypto infrastructure, internal financial systems, trading tools, data products, or intelligent automation. The best fit is a role where engineering quality, domain depth, and continuous learning all matter.
Quick profile
- Based in
- Arizona
- Current background
- Full-stack development, data analysis, integrations, and operations
- Target direction
- Fintech, crypto, and data-intensive product engineering
- Learning now
- Rust, blockchain concepts, AI, and machine learning