Architecting Intelligence: The Engineering Behind Mobile AI
Translating foundational models into reliable mobile features requires a rigorous architectural framework that prioritizes safety, grounding, and specialized performance.

In a world where technology races at light speed, the quest to capture the elusive single photon isn’t merely about keeping pace—it’s about staying ahead.
At the forefront of this photon chase is a remarkable piece of technology: the reconfigurable FPGA (Field-Programmable Gate Array). This innovation promises to redefine the landscape of applications that rely on single-photon measurements, from LiDAR and medical imaging to the impervious realms of secure optical communication.
Imagine the precision required to detect a single photon—the fundamental particle of light. Miss one, and you might as well have lost a needle in a cosmic haystack.
This is where FPGA-based instrumentation steps in, offering an unprecedented level of precision and speed. We’re talking about timestamping photon events with a mind-bending 10 picosecond resolution.
To put it in perspective, that’s akin to measuring the time it takes light to traverse a few millimeters.
The beauty of FPGA technology lies not just in its precision, but in its adaptability. Unlike traditional photon counters, which can falter under high event rates, FPGA setups are reconfigurable.
They can track up to four events simultaneously without missing a beat, making them an all-in-one toolkit for photon scientists. This versatility is crucial for applications ranging from Hanbury-Brown-Twiss experiments, which probe the quantum nature of light, to decoding complex pulse-position modulated data, a technique often used in secure communications.
Dr. Jason Ball, an engineer at Liquid Instruments, is set to delve into these exciting possibilities in an upcoming webinar on April 15th. Participants can expect to not only gain theoretical insights but also witness live experiments that demonstrate the FPGA’s prowess in real-time photon detection.
While photomultipliers have traditionally been used for single-photon detection, the advent of FPGAs marks a significant shift. With their ability to adapt to various experimental needs and handle high data rates without downtime, they represent the cutting edge of photon measurement technology.
So, if you’re intrigued by the potential of FPGAs and their role in the photon frontier, mark your calendars. As we continue to unravel the mysteries of light, technologies like these will undoubtedly pave the way for new discoveries and applications.
In this race against the speed of light, FPGAs are not just keeping pace—they’re setting the standard.
Translating foundational models into reliable mobile features requires a rigorous architectural framework that prioritizes safety, grounding, and specialized performance.
Indrajit Sen’s twenty-four years bridging legacy enterprise IT and modern digital commerce have produced a discipline that cuts against the industry’s instinct for wholesale transformation: rather than replatforming for its own sake, his approach targets the precise architectural bottlenecks—a synchronous inventory check blocking checkout, a real-time promotion recalculation hammering an aging OMS—and resolves them in focused interventions that deliver measurable revenue impact without the risk of full-scale disruption. Across engagements with Fortune 20 retailers including Costco and Boots UK, his consistent argument is that sustainable digital commerce modernization rests on three pillars that must hold simultaneously: architecture that scales under pressure, operating models that align cross-functional teams around shared outcomes, and governance that treats ethical AI deployment as a design requirement rather than a compliance afterthought.
Mubin is an IEEE Senior Member and systems architect specializing in embedded AI systems, connected-vehicle cybersecurity, edge computing, and distributed platform infrastructure. Across leadership roles at Amazon, Symantec, Walmart, PayPal, and Microsoft, he has focused on building resilient intelligent systems capable of operating reliably under strict real-world constraints.