LangChain's abstraction hid a memory leak
I put chat state in Redis so the support agent could remember sessions. The API pods still ran out of memory.
Transform AI complexity into production-ready solutions. From strategy to deployment, I help teams build reliable systems that deliver real business value.
Specialized capabilities for building production-ready AI systems
Data Strategy & Optimization
AI System Evaluation & Testing
Advanced RAG Systems & Fine-tuning
Team Alignment & Capability Building
Reliable Agentic Automation with MCP
With 4+ years designing data pipelines and deploying models for enterprises and fast-growing startups, I've seen firsthand how teams get stuck in technical loops that don't deliver value.
I focus on what matters: systems that actually serve your users and deliver real business outcomes. Let's explore where AI can reduce costs, improve efficiency, and unlock revenue in your business.
Technical deep-dives on AI engineering, RAG systems, and production workflows
I put chat state in Redis so the support agent could remember sessions. The API pods still ran out of memory.
I put chat state in Redis so the support agent could remember sessions. The API pods still ran out of memory.
If the customer has to re-explain the issue, or feels misunderstood you have already lost CSAT points. LLMs can guess from session history but persisting signals is what makes it reliable.
Let's discuss your AI challenges and explore how to turn complexity into production-ready solutions.