An aspiring Industrial IoT (IIoT) & DevOps Engineer passionate about real-time sensor telemetry, cloud-edge architectures, IVD/biometric diagnostic tools, and automated infrastructure.
- 🎓 Education: B.E. in Industrial Internet of Things (IIoT) at Prof. Ram Meghe Institute of Technology & Research (Graduation: 2026)
- 🔭 Current Focus: Industrial IoT Telemetry, Cloud-Edge Systems, & IVD/Biometric Signal Processing
- 🌱 Learning: Cloud Infrastructure Automation (AWS/Docker), Advanced Microcontrollers & Telemetry Pipelines
- 💬 Ask me about: IIoT Architectures, Embedded Systems (ESP32/Raspberry Pi), Python Automation, and Cloud Monitoring
- ⚡ Fun Fact: I design, prototype, and 3D-print custom physical enclosures for embedded hardware systems.
| Category | Technologies |
|---|---|
| Industrial IoT (IIoT) & Hardware | ESP32, STM32, Raspberry Pi, GPIO, I2C, SPI, MQTT, Microcontrollers, Sensors (MPU6050, GPS/GSM) |
| DevOps & Cloud | AWS (EC2), Docker, Jenkins, Linux (Ubuntu), CI/CD Pipelines |
| Languages & Automation | Python, C++, TypeScript, JavaScript, SQL, Java |
| Software, Web & DB | Next.js, Express.js, Node.js, PostgreSQL, MySQL, Prisma ORM, OpenCV |
| Development & CAD | Git, GitHub, VS Code, Excellon G-code Parsing, 3D CAD Enclosure Design |
A full-stack Industrial IoT telemetry and monitoring platform designed for real-time remote hardware node management.
- Tech Stack: Next.js, Docker, PostgreSQL, Prisma ORM, MQTT, AWS
- Key Feature: Ingests live sensor telemetry from remote hardware nodes and visualizes system state via real-time dashboard analytics.
An automated diagnostic screening system utilizing a split-processing edge-to-server architecture for real-time signal analysis.
- Tech Stack: Python, OpenCV, Speech Signal Processing Protocols, IoT Edge Nodes
- Key Feature: Processes acoustic and biometric parameters across edge networks to run real-time non-invasive diagnostic evaluations.
An embedded hardware suite driving 21+ industrial sensors and actuators via low-level GPIO, I2C, and SPI protocols.
- Tech Stack: Python, Raspberry Pi, I2C/SPI Protocol Stack, Linux Hardware Drivers
- Key Feature: Integrated multiple analog and digital industrial sensors into a unified hardware-software control interface.
A hardware-manufacturing optimization tool that parses raw Excellon drill files into optimized CNC G-code paths.
- Tech Stack: Python, Excellon Parser, CNC Control Logic
- Key Feature: Automates multi-tool path planning and tool-change commands for precision PCB manufacturing.
An English pronunciation assessment web application built with a zero-storage architecture for strict data privacy compliance.
- Tech Stack: Next.js 14, TypeScript, Google Gemini API, Vercel
- Key Feature: Processes audio buffers in-memory to evaluate fluency without storing user voice data to disk.
- Live Demo: vocalgradeai.vercel.app
