I take ambitious ideas from architecture to production - combining agent, context, loop, and harness engineering with scalable backends and polished interfaces.
- Agent engineering - tool-using agents, memory, multi-agent coordination, and human-in-the-loop workflows.
- Context engineering - retrieval, structured context, durable memory, and instruction design that keeps agents grounded.
- Loop engineering - reliable plan-act-observe-refine cycles with retries, guardrails, and evaluations.
- Harness engineering - tool interfaces, execution environments, orchestration, tracing, and evaluation infrastructure.
- Full-stack products - fast, thoughtful MVPs and production features across web, mobile, APIs, and data.
- Scalable platforms - distributed services, event-driven workflows, stream processing, and cloud-native architectures.
- Technical partnerships - architecture, prototyping, and hands-on collaboration from an early idea through delivery.
I am a Senior Software Engineer at Visa, previously at Publicis Sapient, with 5+ years of experience building enterprise software across AI, payments, distributed systems, and developer automation.
My work focuses on dependable systems that operate under real production constraints: concurrency, fault tolerance, observability, security, and performance.
I explore the intersection of AI agents and payment infrastructure, with a focus on:
- Authority-aware agent payments - enabling agents to act within explicit, auditable spending constraints.
- Autonomous financial workflows - designing context-aware systems that can continue recurring obligations safely.
- Intelligent payment resilience - applying adaptive decisioning to improve retry orchestration and recovery.
| Area | Technologies |
|---|---|
| AI and agents | Python, FastAPI, Pydantic AI, MCP, LangGraph, LangSmith, RAG |
| Backend and systems | Java, Spring Boot, Kafka, REST, event-driven systems |
| Frontend and mobile | TypeScript, React, Next.js, React Native |
| Data and cloud | PostgreSQL, Redis, AWS, Azure, Docker, Kubernetes |
A Next.js short-form media experience focused on responsive UI and modern frontend interactions.
A TypeScript and React workspace for practicing frontend patterns, coding challenges, and interview fundamentals.
- Full-stack interview preparation - a growing Java problem-solving archive covering common data structures and algorithms.
- Designing Data-Intensive Applications notes - systems-design notes and takeaways from ongoing study.
Have an AI product or technically ambitious idea? I am open to select collaborations and opportunities.