About
Electronics and Telecommunication Engineering undergraduate with hands-on experience in IoT, embedded systems, sensor interfacing, and wireless communication. Familiar with MQTT, Wi-Fi, REST API, WebSocket, and ThingSpeak, with practical exposure to PCB assembly and electronic circuits.
Experience
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Electronics InternAccord Techno Pvt. Ltd.Jun 2023 – Jul 2023
Gained hands-on exposure to PCB assembly and basic soldering techniques for electronic circuits. Worked with basic electronic components and learned their identification, functions and applications in circuits. Developed practical understanding of circuit connections, PCB designing and basic electronic hardware assembly.
Education
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B.E.Sardar Patel Institute of Technology (SPIT)Electronics and Telecommunication Engineering · 2024 – 2027
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DiplomaVeermata Jijabai Technological Institute (VJTI)Electronics Engineering · 2021 – 2024
Skills
Tools / apps / platforms
- Arduino <3 months
- Arduino IDE <3 months
- Microsoft Excel <3 months
- Microsoft Power BI <3 months
- The MathWorks MATLAB <3 months
- ThingSpeak <3 months
Projects
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Arduino-Based Health Monitoring SystemArduino, ESP8266, ThingSpeak
Integrated MAX30100 for heart-rate and SpO2 measurement and LM35 for body-temperature monitoring using Arduino Uno. Transmitted the measured health parameters through ESP8266 Wi-Fi to ThingSpeak for real-time cloud visualization and remote monitoring.
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Battery Monitoring & SOC SOH Estimation SystemPIC18F4550
Developed a PIC based system to monitor voltage, current and temperature of two 18650 Li-ion cells connected in series using voltage sensing, ACS712 and LM35. Programmed the controller using PICkit to process battery parameters, estimate SoC, SoH and display real-time readings on a 16x2 LCD with temperature alerts.
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MQTT-Based Dual-Node Sensor Communication SystemESP32, MQTT, Mosquitto, Wi-Fi
Integrated IR and ultrasonic sensors with two ESP32 nodes and implemented Wi-Fi-based MQTT communication through a Mosquitto broker. Enabled both ESP32 nodes to publish and subscribe to sensor topics for real-time data exchange and device-to-device monitoring.
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Industrial IoT Water Measurement & Control SystemLoad Cell, Arduino, ESP32, Blynk
Calibrated a load-cell based measurement system with Arduino, achieving approximately 98–99% accuracy in measurements. Transferred measurement data from Arduino to ESP32 via RS-485, displayed readings on Blynk and MAX7219, and implemented threshold-based pump control with alerts.
🏆 Achievements & awards
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Runner-Up – Electronova National Hackathon · 2026
Developed an Industrial IoT water monitoring and transfer system using load-cell based measurement, Arduino and ESP controllers, with pump control and real-time monitoring through Blynk.
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Shortlisted – Nirmith Hackathon
Shortlisted among 1000+ registrations for proposing a Smart Drainage System using IoT sensors, predictive algorithms and automated actuators for real-time urban flood monitoring.
📚 Publications
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Battery Management System (BMS) – IEEE Research Paper