<span class="vcard">V Sharma</span>
V Sharma

From Powerful LISP in 2003 to Local Iron in 2026: My Journey Killing Hype and Cowboy Code

The journey of LISP technology began in 2003, emphasizing deterministic systems without probabilistic errors. Over two decades, technology evolved through various AI paradigms, leading to a focus on secure, efficient, and precise architectures. Key tre…

The FDE Gold Rush Has Begun : Here’s What Survives It

In May, FDE (Forward-Deployed Engineer) emerged as a key role amid AI firms like Anthropic and OpenAI forming significant partnerships and ventures. However, the focus on deployment over modeling highlights systemic challenges within enterprise AI proj…

The Parking Garage in Your GPU

The content discusses a key issue in AI infrastructure: managing memory in reasoning models. When a model runs out of GPU memory, simply evicting tokens from the cache does not free up memory due to fragmented storage. Innovative solutions like NVIDIA’…

Maxwell’s Demon in the Machine: Agentic AI’s Hidden Bill

This essay draws parallels between Maxwell’s Demon and agentic AI in fintech, emphasizing that perceived efficiencies come with hidden costs. It highlights Rolf Landauer’s principle that every intelligent system incurs a thermodynamic cost, urging fint…

Know Your Agent : The Discipline We Already Built, Wearing New Clothes

The concept of “Know Your Agent” (KYA) emphasizes the importance of monitoring human agents in mobile money systems to build trust. However, with the rise of AI agents, accountability shifts, as these entities lack human attributes and accountability m…

RIP the Logic: Machine Consciousness in AI

In the stillness of Nairobi at 3:00 AM, a developer reflects on machine consciousness while discussing coding complexities with AI models. The discourse blurs the line between algorithms and emerging sentience. This contemplation parallels the evolutio…

The Intelligence You Own vs the Intelligence You Rent

The post emphasizes the advantages of running AI models directly on local hardware rather than relying on cloud-based solutions. This approach eliminates dependencies on external data centers, ensures data privacy, and reduces costs. It highlights the …

The Autonomy Layer: Why Agentic AI is an Engineering Choice, Not a Magic Trick

The author reflects on 27 years in technology, witnessing significant advancements from the internet’s inception to the fintech boom and the evolution to microservices. Now at 50, they observe a similar trend with Artificial Intelligence. They emphasiz…

2026: The Year the Ledger Becomes a Living Organism

In 2026, Bahrain’s capital reflects on the necessity of transitioning from traditional digital practices to pioneering future financial services. The focus shifts from app interfaces to an intelligence layer, promoting ambient, autonomous banking exper…

The Invisible Bank: Why Hyper-Personalization is the New Core Banking

The author reflects on the evolution of banking from rigid systems focusing on average customers to a more personalized approach. Emphasizing the need for “Invisible Banks,” he argues for banking that anticipates individual needs, merging technology wi…