Profile banner
Mohammed Abul Hassan Khan

Mohammed Abul Hassan Khan

AI Systems Builder | RAG | Agentic AI | Product-Driven Engineer

mohammed-hassan-1164
Bengaluru, Karnataka, India
Joined June 2026
Favicon imagein.linkedin.com

Network

1.4K connections

Summary

Systems-first AI engineer who emphasizes building robust architectures around LLMs rather than focusing solely on which model is 'best'. linkedin
Advocate for traceability and observability in generative AI workflows, urging evaluation of intermediate steps (retrieval, filtering, ranking, generation) to diagnose and fix failures. linkedin
Focused on agentic AI and retrieval-augmented generation (RAG) with an interest in building autonomous research assistants and product-driven AI experiences. linkedin
Early-career student in data science (IFIM Institutions, 2023–2026) who publishes technical perspectives on AI system design and engineering on LinkedIn. linkedin

Education

Writing

Designing Traceable AI Systems for Better Answers

A post arguing for traceable, debuggable AI architectures that make retrieval, filtering, ranking and generation observable so systems can justify and improve answers.

Favicon imagelinkedin.com

System Design Trumps AI Model in Real-World Performance

A post describing why system design (context handling, prompt engineering, tool integration, memory) matters more than choosing the 'best' model for real-world AI performance.

Favicon imagelinkedin.com