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Aaditiya K b24es1005-debug

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b24es1005-debug /README.md

╔══════════════════════════════════════════════════════════════╗
║ > whoami ║
║ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ║
║ Interdisciplinary engineer. Systems thinker. ║
║ IIT Jodhpur — CSE ∩ Electrical Engineering ║
║ Building at the intersection of silicon and sky. ║
╚══════════════════════════════════════════════════════════════╝

> cat about.md

I'm an undergraduate at IIT Jodhpur pursuing a dual discipline in Computer Science & Electrical Engineering — two fields that collide beautifully at the hardware-software boundary.

My work lives at the intersection of embedded intelligence, wireless systems, and aerospace engineering. I don't just write code. I build systems that sense, think, and act in the physical world.

From bare-metal microcontroller firmware to AI inference at the edge, from WiFi signal fingerprinting to low-level Linux internals. I operate across the full stack of engineering complexity.

Long-term mission: intelligent autonomous systems for aerospace and space exploration.

$ cat current_mission.sh
#!/bin/bash
echo "Sensing the world through RF signals"
echo "Pushing AI to the edge of hardware"
echo "Building what doesn't exist yet"
Coding
location: IIT Jodhpur, Rajasthan 🇮🇳
year: 3rd Undergraduate
degree: B.Tech CSE + EE
os: Arch Linux (btw)
editor: Neovim + VS Code
terminal: kitty + zsh
focus: Embedded AI • Aerospace
status: Building in stealth 🛸

⟨ ACTIVE TRANSMISSION VECTORS ⟩


RF-based activity detection & passive radar
TinyML on constrained hardware
RTOS, MCU firmware, bare-metal

Navigation, telemetry, avionics concepts
Kernel, drivers, system internals
Sensors, actuation, real-time loops

> ls -la /tech-stack/

〔 PROGRAMMING LANGUAGES 〕

〔 EMBEDDED + HARDWARE 〕

〔 AI / ML / COMPUTER VISION 〕

〔 NETWORKING / WIRELESS 〕

〔 TOOLS + PLATFORMS 〕

> cat /projects/manifest.json

📡 WiFi CSI Human Sensing System
┌─────────────────────────────────────────────────────────┐
│ SYSTEM: Passive RF Intelligence │
│ CLASS: AI + Wireless Sensing │
│ STACK: Python • ESP32 • OpenCV • ML • Linux │
└─────────────────────────────────────────────────────────┘

Architecture: Leverages Channel State Information (CSI) extracted from commercial WiFi hardware to passively detect human presence, movement, and activity — no cameras, no wearables, no contact.

  • Raw RF signal acquisition via ESP32 firmware
  • Feature extraction from CSI amplitude/phase matrices
  • ML classification pipeline for motion/gesture detection
  • Real-time inference on edge device

"The environment itself becomes a sensor."

Python ESP32 ML Linux


🧺 Laundry Management System
┌─────────────────────────────────────────────────────────┐
│ SYSTEM: Smart Resource Tracking │
│ CLASS: Android + Backend + IoT │
│ STACK: Kotlin • Firebase • QR Codes • Android │
└─────────────────────────────────────────────────────────┘

Architecture: Full-stack campus laundry tracking system using QR code identity tokens, real-time Firestore updates, and a native Android frontend with live slot availability.

  • QR generation + scanning for individual garment tracking
  • Firebase Realtime Database for live workflow state
  • Android native client (Kotlin) with Material UI
  • Push notifications for completion alerts

Kotlin Firebase Android


⚙️ Embedded + IoT Experiments
┌─────────────────────────────────────────────────────────┐
│ SYSTEM: Hardware-Software Integration Lab │
│ CLASS: Embedded Systems + Automation │
│ STACK: C • Arduino • ESP32 • Sensors • MQTT │
└─────────────────────────────────────────────────────────┘

Architecture: Collection of hardware-software integration projects spanning sensor interfacing, protocol implementation (I2C/SPI/UART), and MQTT-based IoT pipelines.

  • Custom firmware for sensor arrays
  • Communication protocol implementations
  • Automation scripts bridging hardware + cloud
  • Data logging and visualization pipelines

C Arduino MQTT


🐧 Linux Customization & Automation
┌─────────────────────────────────────────────────────────┐
│ SYSTEM: Arch Linux Development Environment │
│ CLASS: Systems + Automation + DevOps │
│ STACK: Bash • Python • KDE Plasma • Neovim │
└─────────────────────────────────────────────────────────┘

Architecture: Highly customized Arch Linux environment built for engineering productivity — from kernel tweaks and compositor configs to terminal automation and custom dotfiles.

  • Declarative dotfile management (stow)
  • System-level automation scripts
  • Performance tuning and monitoring
  • Terminal-first workflow design

Arch Linux Bash


🛸 Future Space-Tech Projects
┌─────────────────────────────────────────────────────────┐
│ SYSTEM: Aerospace + Embedded Concepts [EXPERIMENTAL] │
│ CLASS: Deep-Tech Research │
│ STACK: C • Python • RTOS • Signal Processing │
└─────────────────────────────────────────────────────────┘

Experimental explorations at the boundary of aerospace engineering and embedded intelligence:

  • Lightweight telemetry systems for small satellites
  • Navigation algorithms for autonomous aerial vehicles
  • Signal processing pipelines for space communication links
  • RTOS-based control systems for avionics prototypes

Watch this space.

C RTOS

> git log --all --oneline --graph


GitHub Stats GitHub Streak



Top Languages

> commit --push --force origin/universe

Contribution Snake

> cat /philosophy/core.md


╔══════════════════════════════════════════════════════════════════════╗
║ ║
║ "Complexity is not the goal. Capability is." ║
║ ║
║ The best systems are the ones that disappear — ║
║ invisible infrastructure enabling human possibility. ║
║ ║
║ I build at the convergence: ║
║ Hardware ↔ Firmware ↔ Intelligence ↔ System ║
║ ║
║ Every abstraction layer must be understood. ║
║ Every constraint is a design parameter. ║
║ Every signal carries information — extract it. ║
║ ║
╚══════════════════════════════════════════════════════════════════════╝

> grep -r "interests" /research/

// Signal Intelligence

  • WiFi Channel State Information (CSI) sensing
  • Passive radar and RF fingerprinting
  • Signal processing for non-cooperative sensing
  • Sub-6GHz propagation modeling

// Embedded Intelligence

  • TinyML and model compression techniques
  • Real-time inference on MCUs (< 1MB RAM)
  • Sensor fusion architectures
  • Hardware-aware neural network design

// Aerospace Systems

  • Avionics and flight computer design
  • Lightweight telemetry protocols (space)
  • Fault-tolerant embedded systems
  • CubeSat + small satellite engineering

// Autonomous Systems

  • Vision-based navigation
  • SLAM for resource-constrained platforms
  • Control systems for aerial vehicles
  • Multi-agent coordination protocols

> tail -f /logs/future.log


[MISSION] Intelligent autonomous aerospace systems
[TARGET] Satellite communication intelligence
[PHASE] AI-assisted avionics engineering
[GOAL] Autonomous deep-space exploration systems
[DREAM] Hardware that thinks. Systems that endure.
 Code that runs where no human can go.
$ echo "The future is embedded." && sleep ∞

> neofetch

 -` user@cosmos
 .o+` ──────────────────────────────
 `ooo/ OS: Arch Linux x86_64
 `+oooo: WM: KDE Plasma (Wayland)
 `+oooooo: Terminal: kitty
 -+oooooo+: Shell: zsh + starship
 `/:-:++oooo+: Editor: Neovim + VS Code
 `/++++/+++++++: Font: JetBrains Mono NF
 `/++++++++++++++: Theme: Catppuccin Mocha
 `/+++ooooooooooooo/` Icons: Papirus Dark
 ./ooosssso++osssssso+` CPU: Intel
 .oossssso-````/ossssss+` RAM: 16GB
 -osssssso. :ssssssso. Uptime: enough to get work done
 :osssssss/ osssso+++. Packages: too many
 /ossssssss/ +ssssooo/- 
 `/ossssso+/:- -:/+osssso+- 
 `+sso+:-` `.-/+oso: 
 `++:. `-/+/ 
 .` `/ 

> ping --reach-out


LinkedIn GitHub Email


Open to: Research collaborations
 Embedded / AI / Aerospace projects
 Open-source contributions
 Internships in deep-tech / space-tech

Built from scratch. Runs on curiosity. Powered by Linux.
while true; do learn(); build(); iterate(); done

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