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VRITTI User

@vrittiuser

I build IoT, drone, and AI systems for real-time monitoring and predictive detection.

India
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What I'm looking for

I'm looking for an opportunity to build practical IoT, embedded, drone, AI/ML, or computer vision solutions while growing through hands-on engineering work and collaborative innovation.

I've built IoT, AI/ML, and drone systems that turn sensor data into real-time monitoring and alerts. My work includes a multi-sensor drone health monitoring system using Raspberry Pi 4, Random Forest, AWS IoT Core, DynamoDB, and SNS.

During my internship at Tecible, IIT Jammu, I developed Arduino-based IoT systems for obstacle detection and ThingSpeak data logging, while supporting drone simulation and design with Mission Planner, Onshape, and Unity. I also designed and tested a drone prototype focused on sensor calibration, payload optimization, stability control, and reliable flight operations.

I've developed Samarth, a neurological diagnostic kit for early screening and monitoring of Parkinson’s, Epilepsy, and Alzheimer’s, and built an FPGA-based Sobel edge-detection accelerator for IoT-enabled drone imaging using Xilinx ISE and Verilog.

As Chairperson of the IEEE Student Branch at MIET Jammu, I organized AI, ML, and IoT workshops for 200+ participants. I'm an SIH'25 winner and an active NSS volunteer committed to practical technology and community initiatives.

Experience

Work history, roles, and key accomplishments

MT

Summer School Trainee

Model Institute of Engineering and Technology

Jun 2025 - Jul 2025 (1 month)

Completed training on Data Structures in C++, covering arrays, linked lists, stacks, queues, and trees. Enhanced algorithmic and coding proficiency through practical implementations.

Education

Degrees, certifications, and relevant coursework

Model Institute of Engineering and Technology (MIET), Jammu logoMJ

Model Institute of Engineering and Technology (MIET), Jammu

Bachelor of Technology, Electronics and Communication Engineering

Grade: 7.6 CGPA

Pursuing B.Tech. in Electronics and Communication Engineering with a minor in AI & ML, maintaining a CGPA of 7.6.

Tech stack

Software and tools used professionally

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