PrajnaEdge
A curiosphere for curious minds who want to understand, experiment with, and experience technology.
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Technology, made tangible.

Where does intelligence run?

Explore AI that moves inference closer to the data — from the edge to the device itself.

AI inference runs at or near the point where data is generated, rather than relying on a remote cloud.
Edge AI Computer Vision

Image Classification

Can this image classifier maintain its intelligence while becoming small enough for the edge?

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Edge AI Playground

Image Classification

Can this image classifier maintain its intelligence while becoming small enough for the edge?

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Supports JPG, JPEG, PNG
This classifier recognizes only Apple, Banana, and Orange. Other objects may be incorrectly classified as one of these classes.

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Model size
4.91 MiB
Largest activation
~625 KiB
Test accuracy
99.11%
Measured model accuracy
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On-Device AI
On-Device AI Playground
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Explore the ideas, systems and connections that shape technology — choose any node to begin your journey.

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Embedded Systems Tree

Edge AI Demonstrations

Deploying neural networks and intelligent decision loops on raw silicon targets.

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Operating Systems

The Rules of Fairness

How the Kernel turns difficult choices into predictable decisions.

KernelSchedulingPoliciesArchitecture

Policies vs. Mechanisms

To understand how a scheduler works, we must distinguish between two related concepts:

* The Mechanism (The Scheduler): This is the code that performs the transition from one Process to another. The technical details of this transition, known as a Context Switch, will be explored later in our Operating Systems journey. * The Policy (The Ruleset): This is the algorithm or set of rules that determines which process from the Ready Queue should be selected next.

The mechanism is universal—it remains the same regardless of what programs you are running. The policy is configurable—it changes depending on what goals the system is trying to optimize.

READY QUEUE P1 P2 P3 SCHEDULING POLICY The Ruleset Determines "How" SCHEDULER The Mechanism Executes Choice CPU ACTIVE CORE

Why Multiple Policies Exist

There is no single "correct" policy because there is no single engineering goal. Different computer systems prioritize different objectives:

* Fairness: Ensuring that every active process eventually gets a turn on the processor. No process should starve in memory indefinitely. * Responsiveness: Prioritizing user interaction. A text editor or cursor should respond within milliseconds, even if heavy background calculations are running. * Throughput: Maximizing the total number of processes completed per hour. This is vital for servers running background data-processing batches. * Real-Time Behaviour: Guaranteeing that critical tasks execute within strict deadlines. An engine controller sensor loop must run on time, no matter what.

A scheduling policy is an expression of what a system values most.

Four Classic Scheduling Policies

Modern operating systems like Linux, Windows, or macOS use highly sophisticated scheduling architectures. However, these complex production schedulers are built upon a small set of classic, foundational concepts.

Before we can understand how modern schedulers combine these ideas, we must first understand the four classic policies that represent the historical foundations of scheduling:

1. First-Come, First-Served (FCFS) * The Idea: "Respect arrival." * The scheduler selects whichever process arrived first in the Ready Queue. It runs until it yields or terminates.

2. Shortest Job First (SJF) * The Idea: "Finish quickly." * The scheduler examines all ready processes and runs the one with the shortest estimated execution duration first.

3. Priority Scheduling * The Idea: "Protect what matters most." * Each process is assigned a priority value. The scheduler always executes the process with the highest priority first.

4. Round Robin (RR) * The Idea: "Everyone deserves a turn." * The scheduler gives each process a tiny, fixed slice of execution time (a quantum). When time runs out, the process is preempted and sent to the back of the queue.

These classic policies introduced different ways of thinking about fairness. Each solved a particular engineering problem, but each also revealed new, unforeseen limitations.

Before we understand how modern operating systems schedule processes, we must first understand these foundations.

Let's begin with the simplest scheduling rule.

System Tree Node Operating Systems

PrajnaEdge

Engineering concepts you don't just read — you experience.
Founded in 2026.

PrajnaEdge is a technology company exploring the space between understanding technology, experimenting with ideas, and turning them into things that can be experienced.

Our Mission

To make technology easier to explore, deeper to understand, and more exciting to experience.

Our Vision

To build a technology ecosystem where curiosity, experimentation and creation continuously lead to one another.

Where it began

Embedded Systems

PrajnaEdge began with Embedded Systems — exploring the foundations that connect hardware, software and intelligent computation.

The first technology universe is built around that foundation. The journey will expand as new ideas, experiments and products emerge.

PrajnaEdge is a technology company created by Devaharsha Meesarapu.

CREATOR PROFILE

Devaharsha Meesarapu

Embedded Systems • Firmware • Edge AI

I am the engineer behind the design, development, and content of PrajnaEdge. I build low-level systems where code directly controls hardware, bridging the gap between register-level silicon behavior and intelligent edge decision loops.

View Resume →

ABOUT ME

I am an Embedded Firmware Engineer focused on developing software for resource-constrained systems. My experience spans bare-metal firmware, device drivers, microcontroller peripherals, and communication protocols, working across the boundary between hardware and software.

My work has involved microcontroller-based systems, real-time behaviour, hardware interfaces, and communication technologies such as CAN, CAN FD, UART, SPI, and I²C. I am particularly interested in understanding systems from the lowest level upward—from registers and peripherals to intelligent edge systems.

ENGINEERING PHILOSOPHY

Engineering is not just about writing code; it is about managing constraints, timings, and physical hardware characteristics. True mastery of complex systems comes from understanding the interactions across different layers of the stack.

This conviction is why I built PrajnaEdge—to bridge the gap between conceptual theory and direct, register-level physical reality.

CONNECT

LinkedIn → GitHub →

Interactive Career Journey

Let's Connect
Interested in embedded systems, AI, or building something meaningful? I'd love to hear from you.
Open to collaborations, research, and interesting engineering conversations.
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Bare Metal

Software that runs directly on hardware without an operating system.

Applications
Operating Systems
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Bare Metal
Processor
Hardware

"Every embedded application begins long before main()."

Operating Systems

An Operating System manages hardware and software resources so complex applications can work efficiently.

Applications
YOU ARE HERE
Operating Systems
Bare Metal
Processor
Hardware

"When one loop is no longer enough to carry the burden."

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