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

When Sharing Became Dangerous

Why communication alone was never enough.

Operating SystemsSynchronizationSemaphoresMutexesRace Conditions

1. The Parallel Race

2. The Race Condition

You just observed the same program producing different results.

The hardware did not change.

The code did not change.

Only the execution order changed.

This phenomenon is known as a Race Condition.

Because a simple operation like Counter++ is not atomic, the CPU compiles it into three distinct operations:

1. Read: Load Counter from RAM into a local CPU register. 2. Increment: Add 1 to the local register value. 3. Write: Write the register value back to the RAM address.

If two cores interleave these instructions in time, they clash:

Interleaved Instruction Execution
TIME PROCESS A PROCESS B RAM
T1 Read Counter (100) - 100
T2 - Read Counter (100) 100
T3 Increment & Write (101) - 101
T4 - Increment & Write (101) 101 (Lost Update)

3. Synchronization

To solve this clashing, the Kernel must enforce coordination rules. We call this Synchronization.

🛡️
Mutual Exclusion: A synchronization boundary that guarantees only one CPU core accesses a specific shared memory variable or peripheral address at a time.

4. Semaphore

A Semaphore is a Kernel-managed tool consisting of an integer counter and a blocked queue:

* Counting Semaphore: Manages a pool of multiple resources. Processes decrement the counter to acquire a resource and increment it to return it. If the counter is 0, the requesting process is blocked. * Binary Semaphore: Restricted to 0 or 1, acting as an on/off gate.

5. EdgeCase: Counting Semaphore

Watch how a Counting Semaphore of capacity 2 manages access to a shared connection pool. If slots are full, processes wait automatically in the queue.

6. Mutex

A Mutex (Mutual Exclusion Lock) is a binary lock with ownership. Only the thread that locks it can unlock it.

In embedded architectures, this is critical. Writing to a physical peripheral register (like setting configuration registers on an EEPROM chip or flash block) must be performed by exactly one process without interruption. An interrupted register write would corrupt the hardware state.

7. EdgeCase: Mutex Lock

Watch Process 1 and Process 2 write to a single EEPROM. When Process 1 locks the Mutex, Process 2 is automatically suspended until Process 1 unlocks the resource.

8. Comparison

Choosing the correct synchronization boundary depends on the specific engineering requirement:

When should I use a Semaphore?
  • Resource pools
  • Producer–Consumer signalling
  • Limited shared resources
Example:
• DMA channels
• Connection pools
• Task notifications
When should I use a Mutex?
  • Exclusive ownership
  • Protecting one critical resource
  • Lock–Unlock ownership
Example:
• EEPROM
• SPI peripheral
• I²C bus
• Configuration file
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
YOU ARE HERE
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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