Mar 27, 2025
blogWhen (and How) to Invest in MLOps at Your Startup
A practical guide for startup founders on when and how to invest in MLOps - from early stage flexibility to scaling infrastructure, with key principles and pitfalls to avoid.
ML Engineer. Researcher. Verse Writer.
I specialize in machine learning engineering and research, with a focus on making ML systems more efficient and accessible. When I'm not coding or researching, I write verses that explore musings and philosophy, and host podcasts discussing technology and its philosophical implications.
Mar 27, 2025
blogA practical guide for startup founders on when and how to invest in MLOps - from early stage flexibility to scaling infrastructure, with key principles and pitfalls to avoid.
Mar 23, 2025
blogExplore why building tech for India means rethinking everything from the ground up—addressing local habits, scale, price sensitivity, and cultural diversity with first-principles design.
Jan 15, 2025
projectA smart web monitoring tool that tracks websites and alerts you when relevant changes occur
Dec 13, 2024
projectAn automagic PyTorch metric exporter that seamlessly integrates with popular experiment tracking tools
Oct 15, 2024
verseExploring the boundaries between reality and imagination
Oct 15, 2022
blogThe history of Full stack, Machine learning which results in the mergence of the ML full stack engineer
Join me for discussions on machine learning, technology, and philosophical musings with industry experts and thought leaders.
Browse all episodesIn this episode, we explore the many layers of wellness—from mental health and cultural perspectives to relationships, nutrition, and community. We discuss how different cultures approach grief, the impact of sleep and gut health, and the power of small, meaningful connections.
We explore the evolution of software from desktop applications to SaaS, the impact of AI on this transition, and the importance of specialisation in SaaS solutions. James & Prass discuss the role of subscription models, the complexities of integrating AI, and the need for trust in AI systems.
We dive into Generation Beta—the first to grow up fully immersed in AI. From AI influencers to fitness, personal development, and the ethical dilemmas of a tech-saturated world, we explore what their future looks like.