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Soham Vashistha

Soham Vashistha

Electrical and Electronics Engineering student · Embedded Systems & IoT

Manipal, Karnataka, India

@soham_vashistha

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🎓 Bachelor of Technology in Electrical and Electronics Engineering at Manipal Institute of Technology · Graduating 2027

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About

Electrical and Electronics Engineering student at Manipal Institute of Technology with experience in instrumentation and control engineering and hands-on projects in embedded systems, IoT, and industrial automation. Interested in control logic, sensor-based systems, and engineering problem solving.

Experience

  • Instrumentation & Control Engineering Intern
    Larsen & Toubro (L&T) · Vadodara, Gujarat
    May 2026 – Jul 2026

    Developed and verified process control-loop, interlock and shutdown logic using P&IDs and control narratives for a large-scale oil and gas refinery. Reviewed instrumentation drawings and prepared Fire & Gas alarm and shutdown logic to support safe and accurate control-system integration.

Education

  • Bachelor of Technology
    Manipal Institute of Technology
    Electrical and Electronics Engineering (EEE) · 2023 – 2027

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
Control systems Instrumentation Technical Documentation
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
I2C PLC SPI UART HTTP ESP32 Python Simulink PID control MQTT protocol Sensor Integration Industrial automation Technical Presentations

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
KiCad Arduino ThingSpeak Arduino IDE Microsoft Excel The MathWorks MATLAB

Projects

  • Smart Fire and Intruder Detection System
    Arduino UNO R4, ESP32-CAM, DHT11, Flame Sensor, Ultrasonic Sensor, C/C++

    Built a multi-sensor system for real-time fire and intrusion detection with automatic image capture and local LCD monitoring. Transmitted sensor readings and alert images to a Linux server through UART and HTTP, with event logging and a live dashboard.

  • IoT Solar Telemetry and Measurement System
    Arduino UNO R4, INA219, BH1750, DS18B20, Python, ThingSpeak

    Integrated voltage, current, light-intensity and temperature sensors to measure photovoltaic-system performance in real time. Developed a three-tier edge–gateway–cloud system using UART, Python and ThingSpeak for remote monitoring and performance analysis.

  • Edge Visual Inspection System for Industrial Defect Detection
    ESP32-CAM, MobileNetV2, TensorFlow Lite Micro, MQTT, Node-RED

    Deployed an INT8-quantized MobileNetV2 model on an ESP32-CAM for real-time visual detection of industrial surface defects. Achieved 87.8% accuracy and 94.8% anomaly recall, with results transmitted through MQTT to a live Node-RED monitoring dashboard.

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