Hello Alice,

I'm Rikin Shah

I saw your post for the AI Engineer role at the SOX audit startup. Building advanced AI agent systems with planning, memory, and fault recovery for production deployments is exactly what I've been doing. I'm ready for high-ownership and want to help transform audits for Fortune 500 companies!

Why I'm a Great Fit

Hands-on experience with AI agent architectures—planning, memory, tool use, and recovery. Strong full-stack development background. Built production systems that handle real workloads. Ready to debug agent failures in live environments and ship improvements fast.

📧 rshah@asu.edu 📱 917-238-5682

LinkedIn GitHub 📄 Resume

🎬 Watch My Introduction

▶

3:00Personal Introduction

Applying for

AI Engineer

SOX Audit AI Startup (Seed-Funded) • San Francisco (Onsite, 5 days/week)

🎥Watch In-Depth Project Walkthrough→

Cover Letter

Alice,

I saw your post for the AI Engineer role at the seed-funded SOX audit startup. Building advanced AI agent systems for production deployments—not just prototypes—is exactly what I've been doing. I'm excited about high-ownership roles where I can influence architecture and product direction.

What I Bring:

AI Agent Architecture:

- Built ReachAI: multi-agent system with planning, memory, and autonomous workflows

- Experience with agent planning, tool use, and fault recovery

- Production-ready architecture, not just demos

Fault-Tolerant Systems:

- MailAlarm runs 24/7 with automated recovery

- IBM Watson project coordinated 4 autonomous agents with fallback handling

- I debug agent failures and edge cases in live environments

Full-Stack Background:

- JobGrid: end-to-end full-stack application in production

- Clean integration and rapid shipping—hours, not weeks

Early-Stage Fit:

- I thrive in fast-scaling environments

- High ownership and direct impact is what I want

- Ready to work with co-founders and shape the product

I'm ready to relocate to San Francisco and work onsite 5 days/week. Let's transform SOX audits together!

Best,

Rikin Shah

rshah88@asu.edu | 917-238-5682

Relevant Projects

ReachAI - AI Agent System

1

Built multi-agent AI system with planning, memory, and autonomous workflows. Fault-tolerant architecture with real production deployment.

Relevance: AI agent architecture—directly what you're looking for.

LangChainAI AgentsPythonMemoryProduction

View Project →

IBM Watson Hackathon - Agent Orchestration

2

Built AI orchestration platform coordinating 4 autonomous agents with planning and recovery capabilities.

Relevance: Multi-agent coordination and fault recovery.

AI OrchestrationMulti-AgentPlanningRecovery

View Project →

Memory-as-a-Service - Agent Memory System

3

Built memory infrastructure for AI agents with vector search, semantic retrieval, and efficient data handling.

Relevance: Agent memory systems—core to this role.

Memory SystemsVector SearchPostgreSQLAPIs

View Project →

MailAlarm - Fault-Tolerant Production System

4

Built 24/7 production system with fault recovery, automated decision making, and live debugging capabilities.

Relevance: Production debugging and fault tolerance.

PythonProductionFault Recovery24/7Debugging

View Project →

JobGrid - Full-Stack Application

5

Built full-stack application end-to-end with clean integration into production. Rapid development and deployment.

Relevance: Strong full-stack development background.

Next.jsTypeScriptFull-StackProduction

View Project →

Skills & Tools

AI AgentsLangChainPythonFull-StackAgent ArchitectureMemory SystemsTool UseFault RecoveryProduction SystemsData ProcessingFastAPIPostgreSQLDebuggingPerformance OptimizationEarly-Stage

Thank you for your consideration!

Best regards,
Rikin Shah