I design and build production-grade AI systems that go beyond demos.

With 10+ years in engineering, I've evolved from backend systems → distributed architecture → now specializing in:

• Agentic AI systems
• Autonomous workflows
• LLM-powered platforms
• AI adoption at scale

I combine deep engineering with practical execution So systems don't just look good, they deliver real outcomes

At Sprinklr, the world's leading Unified Customer Experience Management (Unified-CXM) platform, I lead solutions architecture at enterprise scale:

• 🎯 Architecting enterprise-grade AI & CX solutions for global brands
• 🧭 Setting technical direction across complex, multi-stakeholder implementations
• 🤝 Bridging engineering depth with enterprise strategy as a trusted technical advisor
• ⚡ Driving adoption of agentic AI and automation inside a large-scale enterprise SaaS platform
• 🌍 Operating at global scale, where architecture decisions ripple across thousands of end users

📌 Proud to be shaping how one of the world's top CXM platforms builds and ships AI.

• 🏢 Company → Sprinklr
• 🌐 Website → http://aak2kb.com/
• 💼 Developer Profile → https://talent.toptal.com/resume/developers/amin-ahmed-khan
• 🧑‍🏫 Coaching Profile → https://www.toptal.com/coaching/resume/amin-ahmed-khan
• 💻 GitHub → https://github.com/aa2kb
• 🔗 LinkedIn → https://www.linkedin.com/in/aa2kb/

Alongside my role at Sprinklr, I work with global clients through → Toptal (top 3% network)

• 💼 AI Engineer & Developer
• 🧑‍🏫 AI Coach for teams and leaders

I help companies not only build AI but actually adopt and operationalize it

• Multi-agent architectures with reasoning, memory, and tool usage

• Workflow orchestration using LangGraph and stateful systems

• Autonomous decision-making pipelines

• Production-grade RAG pipelines with high accuracy

• Evaluation systems for hallucination detection and quality control

• Multi-model orchestration across providers

• Real-time AI voice systems (STT + TTS + reasoning)

• Dynamic conversations with branching logic

• AI agents that actually talk like humans

• Cloud-native systems across AWS, Azure, GCP

• Serverless + event-driven architectures

• Multi-tenant SaaS platforms

• Turn confusion → structured workflows

• Enable non-technical teams to use AI confidently

• Design AI adoption playbooks that actually stick

→ Real-time conversations → Autonomous qualification → Structured data capture

📌 Reduced manual effort + improved qualification accuracy

→ RAG + evaluation pipelines → Personalization models → Scalable inference systems

📌 Production AI system used at global scale

→ Agents + tools + memory → Decision orchestration → End-to-end automation

📌 Transformed manual workflows into autonomous systems

→ Multi-tenant architecture → Event-driven systems → Reusable modules

📌 Faster product development + scalable foundation

Agents → Microservices with reasoning RAG → Query engine for intelligence AI workflows → Stateful systems with context

• Leading solutions architecture at Sprinklr as Lead Solutions Architect
• Building agentic AI platforms
• Exploring AI V2 for non-technical users
• Designing structured prompt systems
• Scaling voice + automation workflows

If you're building:

• AI products
• Autonomous systems
• Scalable platforms

Or trying to make AI actually useful in your company

Let's connect 🤝

Don't just build AI Build systems people can trust, use, and scale