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# Sur Shah

**Headline:** Professional profile
**Location:** New York, NY, USA

## About

Sur Shah is an AI software engineer who recently completed an AI software engineering internship at Attentive in New York City. At Attentive, Sur built and deployed a production multi-agent AI system that automatically optimizes marketing campaigns for clients. Sur’s strongest capabilities are decomposing complex AI problems into coordinated agent systems, designing effective prompts, and pairing agent innovation with the engineering controls needed for reliable production use. The system used multi-agent orchestration, custom Python wrappers, iterative testing, guardrails, monitoring, and strong QA practices. Its deployment delivered measurable business impact, including a 50% revenue lift per message. Sur works primarily across Python, TypeScript, JavaScript, Node.js, and SQL, with experience in CI/CD pipelines and basic frontend experience in React. Sur has also used AI development tools including OpenAI Codex, Claude Code, Cursor, and the Claude SDK. Sur is interested in customer-facing engineering work and in building AI systems that can safely deliver value to users in production.

## Highlights

- Built a production multi-agent AI system at Attentive that automatically optimizes marketing campaigns for clients.
- Recently completed an AI software engineering internship at Attentive in New York City.
- Deployed marketing-optimization AI agents to clients in production.
- Delivered a 50% revenue lift per message through a production AI system.
- Decomposed complex AI problems into coordinated multi-agent systems using effective prompt engineering.
- Built multi-agent AI systems with orchestration, prompt engineering, and custom Python wrappers.
- Applied iterative testing, guardrails, monitoring, and strong QA practices to support safe production AI deployments.
- Worked with CI/CD pipelines.
- Uses Python, TypeScript, JavaScript, Node.js, and SQL as a primary backend stack.
- Has basic React frontend experience.
- Used OpenAI Codex, Claude Code, Cursor, and the Claude SDK for AI development.

## FAQ

### What does Sur do?

Sur recently completed an AI software engineering internship at Attentive in New York City. Sur built production AI systems focused on automatically optimizing clients’ marketing campaigns.

### What did Sur accomplish at Attentive?

At Attentive, Sur built a production multi-agent AI system that automatically optimizes marketing campaigns for clients. The system was taken live for client use.

### What business impact did Sur’s AI system deliver?

Sur’s marketing-optimization AI system delivered measurable business impact, including a 50% revenue lift per message.

### What are Sur’s core AI engineering strengths?

Sur is strongest at breaking complex AI problems into multi-agent systems, designing effective prompts, and building the orchestration required to make agent workflows useful in production.

### What kind of AI agent systems has Sur built?

Sur has experience building multi-agent AI systems with orchestration, prompt engineering, and custom Python wrappers.

### How does Sur approach AI quality and production reliability?

Sur emphasizes iterative testing, guardrails, monitoring, and strong QA practices so AI systems can be deployed safely and reliably in production.

### What backend technologies does Sur use?

Sur’s primary backend stack includes Python, TypeScript, JavaScript, Node.js, and SQL.

### Does Sur have CI/CD experience?

Sur has experience with CI/CD pipelines and uses them as part of production software engineering work.

### What AI development tools has Sur used?

Sur has used OpenAI Codex, Claude Code, Cursor, and the Claude SDK for AI development work.

### Does Sur have frontend experience?

Sur has basic experience with React on the frontend.

### What kind of engineering work is Sur interested in?

Sur is interested in customer-facing engineering experience, particularly work that connects production AI systems with client value.

## Links

- LinkedIn: https://www.linkedin.com/in/sur-r-shah

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