AI and agent engineering
Patterns for useful LLM systems that can reason, retrieve, and act with structure.
- LLM workflows
- Tool calling
- RAG patterns
- Structured outputs
- Prompt design
- Evaluation loops
About
This page reframes the broader engineering background into the areas that matter most today: blockchain architecture, applied AI/ML, and the practical design of modern agent workflows.

About
The broader engineering background is still part of the story, but the main emphasis now sits with blockchain systems, applied AI/ML, and the design of modern agent-driven software.
I am a software engineer with a long background across full-stack development, web platforms, and mobile products. Over time, my center of gravity has moved more strongly toward blockchain systems, applied AI/ML, and the emerging landscape of agent-driven software.
I am especially interested in how LLMs, retrieval workflows, structured generation, evaluation loops, and tool orchestration can be combined into practical agent systems that are useful, reliable, and production-aware. On the blockchain side, I focus on smart contracts, decentralized architecture, and the design tradeoffs behind real-world Web3 applications.
This website is a personal space for sharing articles, experiments, and perspectives on those topics. It serves as a focused profile and writing hub around the technologies I spend the most time studying and building with.
Capabilities
The earlier site listed a wide spread of technologies. This version groups them around the themes that best represent the current technical profile and the writing direction of the site.
AI and agent engineering
Patterns for useful LLM systems that can reason, retrieve, and act with structure.
Applied AI and ML systems
Practical AI/ML implementation with attention to product usefulness and operational detail.
Blockchain systems
Hands-on work in smart contracts, decentralized infrastructure, and trust-oriented application design.
Engineering foundation
A broader engineering base from years of building full-stack products across web and mobile.
Perspective
This section captures the themes, habits, and technical perspective that shape the articles and the broader profile.
Long-term interest in systems that combine intelligence, automation, and trust.
Preference for practical AI/ML and agent workflows over hype-driven demos.
Attention to architecture, evaluation, and operational detail.
Blockchain experience grounded in implementation, not just theory.
A habit of documenting ideas clearly through technical writing.
A broader web and mobile background that still informs system design decisions.