AI and agent engineering
Designing AI systems that can reason through work, retrieve context, call tools, and return structured outputs reliably.
- LLM workflows
- Tool orchestration
- RAG systems
- Structured outputs
- Prompt design
- Evaluation loops
About
About my background and technical direction.
I have worked across software engineering for years, but the work I most identify with today sits around blockchain systems, applied AI/ML, and AI agents.
About
How I would describe my background today.
The broader engineering background still matters, but the clearest through-line in my work today is blockchain engineering, applied AI/ML, and the design of useful agent systems.
I am a software engineer with more than a decade of experience across backend systems, full-stack product development, web platforms, and mobile applications. That broader foundation still matters, but the technical work I most identify with today sits at the intersection of blockchain, applied AI/ML, and agent-based software.
A large part of my interest is in how intelligent systems should actually be built in practice: retrieval, structured outputs, tool use, evaluation, observability, and the tradeoffs required to make AI systems dependable outside of demos. I am especially drawn to AI agents that can reason through tasks, use tools carefully, and operate with clear guardrails.
On the blockchain side, I care about smart contracts, decentralized system design, and the boundary between on-chain trust and off-chain intelligence. This site is where I collect my writing, technical notes, and ongoing thinking across those areas.
Expertise
Technical depth I keep coming back to.
These are the domains I spend the most time building, studying, and writing about.
Applied AI and ML systems
Turning AI/ML capabilities into practical systems with attention to product quality, operational behavior, and maintainability.
- Python
- TypeScript
- OpenAI APIs
- Embeddings
- Semantic search
- Automation pipelines
Blockchain systems
Building with smart contracts, decentralized infrastructure, and architecture patterns where trust and system design meet.
- Solidity
- Ethereum
- Ethers.js
- Web3.js
- Hyperledger
- Upgradeable contracts
- DeFi
- Identity systems
Broader engineering foundation
The wider engineering base behind the current focus areas, shaped by years of shipping products across backend, web, and mobile.
- Next.js
- Node.js
- PostgreSQL
- Docker
- AWS
- Web platforms
- Mobile products
Approach
How I think about the work.
A few principles that show up repeatedly in how I build, evaluate, and write about systems.
I care more about production behavior and system clarity than demo-only polish.
I am interested in agents that can do real work with context, tools, and feedback loops.
I like combining AI capability with disciplined engineering and evaluation.
I see blockchain as infrastructure and system design, not as branding language.
I use writing as a way to sharpen technical thinking and document tradeoffs.
My broader web and mobile background still helps me think end to end.