// contact
Reachable.
Open for a conversation
If you're thinking through an AI architecture problem, exploring what agentic systems could do for your organisation, or want to trade notes on what's working in production - I'm easy to reach.
I read every message and reply within 48 hours.
// faq
- Who is Rupreet Gujral?
- Rupreet Gujral is an AI Architect and Practitioner with 25 years of experience across enterprise technology, global consulting, and startups. Based in India, he specialises in designing and deploying production-grade agentic AI systems and LLM infrastructure. He has founded multiple companies, holds an AI patent predating ChatGPT, and has worked with organisations ranging from global enterprises to early-stage founders.
- What does Rupreet Gujral do?
- Rupreet architects agentic AI systems - multi-agent orchestration, LLM infrastructure, semantic routing, cost governance, and observability pipelines. He works with founders, startups, and enterprises to design and implement production-grade AI applications, bridging business strategy and hands-on engineering. He also writes about what actually works in AI production, without the hype.
- What makes Rupreet Gujral's approach to AI different?
- Most AI projects fail in the architecture, not the model. Rupreet's background spans 25 years across enterprise consulting, startup founding, and hands-on engineering - which means he evaluates AI investments from both the business and the build side simultaneously. He holds an AI patent predating ChatGPT and has shipped production agentic systems across multiple industries.
- How can I get in touch to discuss AI architecture?
- Email [email protected] to start a conversation or set up a free discovery call. Rupreet works with founders, startups, and enterprises on AI architecture, agentic systems, and LLM infrastructure.
- How does Rupreet Gujral approach AI strategy?
- Rupreet bridges both the business and technical dimensions of AI. He starts by identifying where AI creates genuine business leverage - not automation for its own sake - then designs the architecture to deliver it. With experience founding AI-native companies, advising enterprises, and shipping AI systems in production, he evaluates every engagement from both the founder's and the architect's perspective simultaneously.
- What kinds of AI projects does Rupreet work on?
- Rupreet works across the full AI stack - agentic systems, LLM infrastructure, RAG pipelines, AI product engineering, and enterprise AI adoption strategy. He has built AI-native companies and products from scratch and helped established businesses integrate AI into existing operations. His focus is always on production-grade systems that deliver measurable business value, not demos.
Build. Ship. Iterate.