Sundeep Gupta

I am a seasoned Product Leader and Strategist with over two decades of experience in the technology industry. My journey began as a software developer, and over the years, I’ve evolved into a leader who drives product innovation and strategy at scale. I have successfully led product management and UX teams, delivering user-centric solutions that align with business goals. My experience spans building high-performing teams, shaping product roadmaps, and fostering collaboration between cross-functional stakeholders. I am passionate about teaching and sharing insights on product management. An alumnus of IIM Bangalore, I bring a strong business acumen to my technical expertise, enabling me to craft strategies that deliver measurable impact. My passion lies in creating products that not only solve real-world problems but also inspire and delight users.

ai unit economics

AI Unit Economics: How Model Architecture Shapes Cost, Latency and Scale

Most Product Managers think AI costs are driven by token pricing and model selection. In reality, the biggest drivers of cost, latency and scalability are architectural decisions made much earlier in the stack. This article explores five such decisions and explains how model architecture translates directly into business economics.

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product roadmap

Define Product Roadmap Using Value Based Framework

Product managers often struggle while creating and maintaining an impactful product roadmap. Product managers add potential features that they cannot immediately prioritize to a product roadmap. The product roadmap often serves as a placeholder in such a context. Over a period of time, the product managers end up cluttering the roadmap with both important and

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self-hosted AI infrastructure

Self-Hosted AI Infrastructure: Why I Built an AI Workstation Instead of Renting GPUs

As AI infrastructure costs continue to rise, self-hosting is becoming a practical alternative to expensive cloud GPUs. This article shares my journey of building a high-performance AI workstation capable of running large open-source models locally. I compare the economics of self-hosted and cloud-based AI infrastructure while highlighting the technical challenges involved. The key takeaway: successful AI infrastructure is less about hardware and more about systems engineering, reliability, and long-term cost optimization.

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