I'm a full-stack developer and hardware builder based in Coimbatore, India β architecting systems that live both in the cloud and in the physical world.
Since 2024, I've shipped SaaS dashboards, eCommerce automation platforms, and hardware-integrated projects that bridge microcontrollers (Arduino, ESP32, Raspberry Pi) with live web and mobile interfaces. My edge is combining AI-accelerated development with a solid understanding of both software architecture and embedded hardware β so I can prototype end-to-end solutions fast, from sensor data to live dashboard.
Chasing the top spot β one build at a time. β‘
| π Shipping | Full-stack SaaS & eCommerce platforms with MERN + Next.js |
| π€ AI Workflow | Claude Code Β· Antigravity AI Β· Replit AI Β· Lovable AI Β· Ollama |
| π eCommerce | Shopify customization Β· WhatsApp automation (Wati) Β· Zoho CRM integration |
| π Hardware | Arduino Β· ESP32 Β· Raspberry Pi Β· sensor-to-web integrations Β· MQTT protocols |
| π± Exploring | Agentic AI tools Β· IoT dashboards Β· local LLM workflows |
| π― Open to | AI-assisted projects Β· SaaS collab Β· IoT + web bridges |
| π¬ Ask me about | Next.js Β· Firebase Β· Shopify Β· hardware+web integrations |
Frontend
Backend & Database
π Hardware & Embedded
AI & Automation
eCommerce & CRM
No Code / Low Code
Tools
I build connected systems where the physical world talks to the web β from sensor data to live dashboards, all automated.
[ Sensors / Actuators / IoT Devices ]
β (Firmware)
[ Arduino / ESP32 / Raspberry Pi ]
β (Serial / MQTT / HTTP)
[ Node.js / Firebase Backend API ]
β (WebSocket / REST)
[ React / Next.js Dashboard ] ββ [ Mobile App / CRM / Shopify ]
Real-world work:
- Wrote embedded C++ firmware for sensor data collection
- Set up MQTT brokers to stream real-time data from hardware to cloud
- Built full-stack dashboards that display live sensor readings with predictive analytics
- Integrated hardware outputs (relays, displays) controlled by web interface actions
- Automated hardware flows with AI decision-making (Claude Code + local LLMs)
Combined with AI-accelerated prototyping, IoT MVPs that used to take weeks now ship in 3β5 days.
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EddieHub |


