Muhammad Husaini Zuhdi

I'm

About Me

Passionate about turning ideas into smart solutions through technology. With hands-on experience in IoT, Artificial Intelligence, Data Analyst, and Software Development, I love solving problems and learning new things along the way.

Internet of Things Engineer

Look up for motivation and look down to be grateful

  • Birthday: 20 June 2000
  • Age: 25 years
  • Phone: +62-8564-5457-121
  • City: Lamongan
  • Email: husaini.zuhdi20@gmail.com
  • Website: husainizuhdi.netlify.app

Skills

Education

Bachelor of Electrical Automation Engineering

2019 - 2023

Institut Teknologi Sepuluh Nopember, Surabaya

Professional Experience

Digital Manufacture Engineer

Oct 2025 - Current

PT Unilever Indonesia, Surabaya

  • Designed and developed an data logger for getting the data from machine production
  • AI Modelling CCTV to safety detection procedure
  • Created a middleware that syncronized with KEPWare

Freelancer

Jan 2025 - Current
  • Designed and developed an automatic sugar weighing system using Arduino Nano and load cell sensor for precision measurement and control
  • Developed a student attendance system using ESP8266 and RFID, integrated with a MySQL database and backend server
  • Implemented the MQTT protocol for real-time data transmission between IoT devices and server infrastructure
  • Developed RESTful APIs with FastAPI and middleware to handle seamless data flow from edge devices to server endpoints

Electronic Data Analyst

Dec 2023 - Oct 2025

PT Imani Prima, Jakarta

  • Collaboration with Sales and Marketing for data trend analysis product
  • Providing bussiness recommendations based-on data trends
  • Monitoring data in real time on IoT devices
  • Discussion with firmware and hardware teams to solve problems
  • Support engineer team during product development
  • Develop software for team analyst need
  • Building AI models for data prediction and classification according to bussiness flow

RnD Engineer Internship

Sep 2021 - Aug 2023

PT Parametrik Solusi Integrasi, Bandung

  • IoT and automation technologies to support both rural development and industrial efficiency
  • Built mobile and web applications to enable real-time data monitoring, quality control, and user engagement
  • Contributed to community-based projects in renewable energy and smart farming using low-cost embedded systems
  • Developed industrial-grade IIoT prototypes and data communication tools using MQTT, C++, and Qt
  • Collaborated with companies and international clients to deliver tailored tech solutions in energy, agriculture, and manufacturing sectors

Student Researcher

Sep 2020 - Aug 2021

PT ITS Tekno Sains, Surabaya

  • Developed and implemented IoT-based OEE (Overall Equipment Effectiveness) systems using Siemens PLC for industrial digitalization
  • Designed electrical wiring networks and built web-based dashboards for real-time monitoring and analysis
  • Analyzed production data and generated performance reports for clients to support decision-making

Student Researcher

Aug 2019 - Aug 2020

PT IIMAE, Surabaya

  • Developed web-based dashboards to monitor renewable energy systems in real time
  • Programmed PLCs for automation tools in manufacturing processes
  • Provided training in robotics and electrical automation for vocational high school students
  • Repaired and assembled robotic components for functional restoration and testing

Portfolio

  • All
  • AI Dev
  • IoT Dev
  • Data Dev

Object Detection

Object detection with Yolo in realtime

Finger Counting

Count the number of right fingers in real time

Coins Counting

Count the number of coins in real time

Automatic Precense Attendance

Presence Attendance with RFID and Twilio to send whatsapp

Commissioning Machine Monitoring

Milling Machine Monitoring

Dashboard Monitoring OEE

Overall Equipment Effectiveness Machine

Micro Hydro Power Plant App

Get data to data logger (raspberry pi)

Weigh Control

PCB Design for sugar weight control

QC Mobile App

QC process with mobile app

Dashboard Machine Monitoring

Lathe machine monitoring

Micro Hydro Panel

Control panel micro hydro for data logger

Micro Hydro Power Plant App

Filter date to get data

Micro Hydro Control Room

Monitoring condition in control room

Dashboard Monitoring OEE

Lathe machine monitoring

Hydroponic

IoT Hydroponic installation

Dashboard Monitoring Solar Panel

Renewable energy solar panel

Dashbord Monitoring Machine/h4>

Lathe machine monitoring productivity

Control System Hydroponic

Water monitoring condition

Threshold Recomendation

Recommend to sales the threshold generate value for calculating savings

Services

Internet of Things

We design and develop IoT systems that connect physical devices to the internet, enabling real-time monitoring and control for various applications. IoT device prototyping with embedded sensors Cloud integration platforms Real-time monitoring and automation for smart homes, agriculture, and industrial environments

Artificial Intelligence

We create intelligent systems that learn from data to automate tasks, improve efficiency, and solve complex problems. Our AI solutions leverage both machine learning and deep learning to deliver high-impact results. Machine Learning: classification, regression, clustering, recommendation systems Deep Learning: neural network modeling, CNN for image processing Computer Vision: object detection, face recognition Natural Language Processing (NLP): chatbot development, text classification, sentiment analysis Predictive Analytics: forecasting, anomaly detection, and data-driven decision-making

Big Data

We process and analyze large-scale data to extract meaningful insights and support data-driven decision-making using modern big data technologies. Data pipeline development and ETL (Extract, Transform, Load) workflows Interactive data visualization and analysis using Python