About me

I am Muhammad Farhan Imanudin, an IoT Engineer who has amassed over three years of experience in this field, starting in 2020. Currently, I am employed at PT Layanan Cerdas Indonesia (LCI), one of the companies providing products that facilitate, streamline, and enhance the quality of life.

As an IoT Engineer, I possess expertise in designing, developing, and implementing IoT systems for various industrial applications. With a background in Electrical Engineering, I am skilled in leveraging cutting-edge technologies such as Machine Learning and Edge Computing to enhance the performance of IoT systems.

Additionally, I have experience leading teams, collaborating with diverse functional teams, and actively identifying new technologies relevant to IoT. With a spirit of innovation and dedication to continuous self-improvement, I aim to consistently contribute significantly to developing IoT solutions that can positively impact companies and society.

What i'm doing

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    System Design

    Defining project requirements, architecting systems, and ensuring security for IoT solutions.

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    Software and Hardware Development

    Developing applications, designing circuits, and integrating hardware and software seamlessly.

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    Programming and Sensor Configuration

    Coding sensors, calibrating for accuracy, and managing power in IoT projects.

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    Connection and Data Management

    Overseeing connectivity, data collection, storage, and cloud integration for enhanced functionality.

Licenses & Certifications

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Daniel lewis

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Resume

Education

  1. Bachelor of Electrical Engineering

    Bandung State Polytechnic - Bandung, Indonesia 2019 — 2023

    Participated in PKM-KC (Karsa Cipta) with the topic "Kit Hidroponik Vertikal Portabel Hemat Energi Berbasis IoT Sebagai Solusi Urban Farming Pada Masa Pandemi" in 2021.

    PKM-KI (Karya Inovatif) with the topic "Implementasi Internet of Things Terintegrasi Smartphone pada Sistem Akuaponik yang Hemat Energi Sebagai Solusi Kemandirian Pangan serta Keterbatasan Lahan Perkotaan" in 2022.

    Participated in PKM-KI (Karya Inovatif) with the topic "Sistem Prediksi Hama Pada Tanaman Hortikultura Menggunakan Metode Naïve Bayes Berbasis IoT Sebagai Antisipasi Gagal Panen" in 2023.

    Published a journal at The 10th International Conference on ICT for Smart Society (ICISS) 2023 with the title "Implementation of the Naïve Bayes Algorithm in Pest Prediction Systems." (DOI: 10.1109/ICISS59129.2023.10291348)

  2. Master of Electrical Engineering

    Bandung Institute of Technology - Bandung, Indonesia 2024 — Now

Experience

  1. IoT Engineer

    PT Layanan Cerdas Indonesia - Bandung, Indonesia Jan 2023 - Now

    Leading a team in designing and integrating sensors and IoT hardware into the company's products.

    Identifying and evaluating new technologies relevant to IoT for implementation in projects.

    Implementing cutting-edge technologies such as Machine Learning and Edge Computing in IoT solutions to enhance efficiency and performance.

    Responsible for developing related software to control and manage IoT devices

    Collaborating with cross-functional teams on projects to ensure the successful implementation of IoT solutions.

  2. IoT Engineer

    Smart City and Community Innovation Center - Bandung, Indonesia Sep 2022 - Dec 2022

    Developed firmware software for IoT devices such as sensors and controllers.

    Designed and implemented communication protocols for transferring data between IoT devices and dashboard platforms.

    Collaborated with hardware and software teams to synchronize the development of IoT products.

    Engaged in research and development of innovative projects in the field of IoT for the Smarter World Living Lab project.

  3. IoT Engineer Intern

    Smart City and Community Innovation Center - Bandung, Indonesia Jun 2022 - Jul 2022

    Designed a 3D prototype model for a water quality monitoring and Escherichia coli bacteria detection device.

    Built the software and hardware based on the prepared design to detect bacteria based on the established predictive model.

    Created a program to integrate sensors and actuators and send their readings to a cloud server.

    Designed a simple dashboard to facilitate water quality monitoring and bacteria detection.

Portfolio

Contact

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