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Typing SVG



section-about

  >  NAME         →  Aariyan Sunu
  >  LOCATION     →  Kerala, India
  >  DEGREE       →  BTech CSE · 7th Sem · MITS · KTU
  >  ROLE         →  Backend Eng + AI Systems Builder
  >  MINDSET      →  "I think in systems, not websites"
  >  FUN FACT     →  Debugs 40% faster with lo-fi


Currently shipping

Jarvis Emergency ESP32 Pothole


Domain Depth

Backend Systems   ████████████████████░░  90%
AI / ML Pipelines ████████████████░░░░░░  75%
Frontend / React  █████████████░░░░░░░░░  65%
Hardware / ESP32  ████████░░░░░░░░░░░░░░  40%
DevOps / Infra    ███████░░░░░░░░░░░░░░░  35%
coding



Open to Work


section-projects


Typing SVG


   Jarvis — Voice AI Assistant

     Local-first voice OS replacing the keyboard entirely

Pipeline:

Wake Word → Voice Auth → Whisper STT → Cache
         → Gemini Router → ReAct Agent → ElevenLabs TTS
  • Porcupine wake word + ECAPA-TDNN speaker verification
  • Gemini 1.5 Flash intent router — sub-100ms on 50 cached commands
  • ReAct multi-step agent — up to 5 chained planning steps
  • Mood-based ElevenLabs TTS (happy / focused / tired)
  • Iron Man HUD — radar, arc reactor, voice auth, biometrics panels
  • ESP32 wearable terminal over WiFi via ngrok and Flask on Mac

status


Python Gemini Whisper React Flask ESP32


View Repo

   Smart Emergency Response Simulation

     Real-time ambulance routing with live ETA prediction

Simulates an entire emergency dispatch system — live map, moving ambulances, adaptive ETA, and real-time updates for all connected clients simultaneously.

  • React + Leaflet — interactive map with live ambulance movement
  • WebSocket broadcast — state synced across every connected client
  • Online learning model — ETA refines itself with each dispatch
  • Route optimizer — shortest path under dynamic conditions
  • Dispatch dashboard — full metrics view per incident

status


React Leaflet Node.js Socket.io MongoDB


ETA RT

   AI Pothole Detection System

     Computer vision microservice for smart city infrastructure

A plug-in CV microservice that classifies road damage severity from images, returning structured results fast enough to embed into any smart city pipeline.

  • MobileNetV2 fine-tuned on road damage dataset
  • FastAPI inference endpoint — sub 200ms per image
  • Returns { severity, confidence, bounding_region } as JSON
  • Modular design — drop into any city monitoring pipeline
  • Batch inference support for bulk image processing

status


Python FastAPI TensorFlow OpenCV


Latency Model

   Centralized Log Ingestion Platform

     Production-grade observability infrastructure from scratch

End-to-end observability stack — a drop-in npm logger, a central ingestion server, full-text log search, and email alerting. Built for distributed microservice monitoring.

  • Custom Node.js logger — npm-ready drop-in library
  • Ingestion server with full-text search across all services
  • Alert threshold engine — email hooks on error spike detection
  • Horizontal scale design — handles multi-service log streams
  • Filter by service, level, and time range

status


Node.js Express MongoDB npm


Scale Alerts


section-stack


Languages

Java JavaScript Python Rust

Backend

Spring Boot Node.js FastAPI Express Flask

Frontend

React Next.js Vite Leaflet

Databases

MongoDB Firebase

AI / ML

TensorFlow OpenCV Gemini Whisper ElevenLabs

Hardware & Tools

ESP32 Git Linux Docker Postman ngrok


section-stats



GitHub Streak


section-activity


Activity Graph


contribution snake


section-next


Jarvis — Next Modules


ML Roadmap


section-connect


LinkedIn Gmail GitHub



+--------------------------------------------------------------------+
|                                                                    |
|   "I think in systems, not just websites.                          |
|    I build things that solve real problems -- from voice AI        |
|    assistants to emergency routing engines."                       |
|                                                                    |
+--------------------------------------------------------------------+

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About

I'm a software developer with a passion for coding and problem-solving. I enjoy building innovative solutions and exploring new technologies. Let's collaborate and create something amazing together!

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