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JJ

Jain Jose

Electronics & Communication Engineering student · Embedded Systems & IoT

Sultan Bathery, Keralam, India

@jain_jose

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About

Electronics and Communication Engineering student with hands-on experience in embedded systems, IoT, and hardware communication protocols. Comfortable working across C and Python for microcontroller-based firmware, real-time sensor integration, and wireless data transmission.

Experience

  • Intern
    National Institute of Technology (NIT) Calicut
    May 2025 – Jun 2025

    Developed a 5G enabled IoT system for real time signal acquisition and data transmission using Raspberry Pi. Built the end to end data pipeline: sensor signal capture, embedded processing, and wireless transmission via HTTP over a private 5G testbed.

Education

  • B.Tech
    NSS College of Engineering, Palakkad
    Electronics and Communication Engineering (ECE) · Oct 2022 – 2026
  • Class 12
    St. Thomas HSS, Nadavayal
    Jun 2019 – May 2021
  • Class 10
    St. Thomas HSS, Nadavayal
    Jun 2018 – May 2019

Skills

1 to 2 years 1 to 2 years A year or two of steady use.
IoT Embedded Systems
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C I2C SPI UART HTTP Python TensorFlow Forecasting Data Science Deep Learning Circuit Design Digital Circuit Design

Tools / apps / platforms

1 to 2 years 1 to 2 years A year or two of steady use.
Raspberry Pi
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Proteus Arduino IDE

Projects

  • ESP32-Based Firmware Over The Air (FOTA) Update System ↗
    ESP32, WiFi, Browser-based dashboard

    Built a wireless firmware update system on the ESP32 that lets new firmware be uploaded through a browser based dashboard over WiFi, with no cable connection to the device. Debugged driver installation, library compatibility, and WiFi connection issues to get reliable updates working end to end.

  • Smart Iron Box
    ESP32, MPU6050, I2C, ESP-NOW

    Designed a real time motion monitoring system using an ESP32 and an MPU6050 sensor read over I2C. Implemented signal thresholding and decision logic to cut power automatically when no motion is detected, with wireless communication between transmitter and receiver modules using ESP-NOW.

  • Ionospheric TEC Forecasting using Deep Learning Final Year Project
    TensorFlow/Keras, LSTM, GRU, BiLSTM

    Built and benchmarked LSTM, GRU, and a novel hybrid BiLSTM+GRU model to forecast ionospheric Total Electron Content (TEC) from multilatitude GNSS and space weather data. Engineered a 24-hour sliding window pipeline with correlation based feature selection for model input.

🏆 Achievements & awards

  • YIP 5.0 Zonal Winner

    Young Innovators Programme, a Government of India initiative for young innovators.

⚽ Extracurricular activities

  • IEEE RAS KC

    Community Coordinator, (2025).

  • IEEE RAS SB, NSSCE

    Secretary, (2025).

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