// contact
Reachable.
Available for new engagements
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.
// good fit
+Engineering leads evaluating AI architecture
+Founders building AI-native products
+Teams drowning in LLM cost or latency
+Orgs assessing AI adoption strategy
–Cold sales or vendor pitches
–Free architecture reviews
// what to include
The fastest way to a useful reply: tell me what you're building, where it's stuck, and what outcome you're actually after.
// sessions
For a structured conversation — architecture reviews, career mentorship, or AI product strategy — I do paid 1:1 sessions.
Book a session on Topmate →// 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 hire or work with Rupreet Gujral?
- Email [email protected] to start a conversation or set up a free discovery call. Rupreet works with founders, startups, and enterprises on AI architecture reviews, agentic system design, LLM infrastructure, and fractional CTO engagements.
- 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.
- Does Rupreet Gujral offer advisory or consulting engagements?
- Yes. Rupreet takes on fractional CTO, AI architecture, and advisory engagements. Email [email protected] to discuss your project or set up a free discovery call.
Build. Ship. Iterate.