Skip to main content
$ whoami

Hello, I'm

Muhammad Syahril
Eka Pratama

IoT Systems Engineer

Building the bridge between hardware and software. Specializing in IoT and Embedded Systems.

Muhammad Syahril Eka Pratama

About Me

I am a passionate Telecommunications and Digital Technology student at Politeknik Negeri Malang (Polinema). My journey revolves around bridging the gap between hardware and software, specializing in Internet of Things (IoT) and Embedded Systems.


My expertise extends beyond hardware assembly. From developing AI-powered computer vision models to crafting Kotlin companion apps, I thrive on building innovative, end-to-end solutions that push the boundaries of technology.

Featured Projects

HiJack: IoT-Based Smart Anti-Hypothermia Jacket (PKM 2025)

Jul 2025 - Oct 2025

An IoT-based wearable smart jacket designed to prevent hypothermia in mountain climbers. It integrates hardware sensors and a mobile app to automate heating based on body temperature.

  • Led end-to-end hardware prototyping (circuit design, sensor assembly, and functional testing).
  • Funded by the Ministry of Education via PKM 2025.
  • Secured dual Intellectual Property Rights (Hardware & Mobile App).
IoTCircuit DesignWearable Tech

Eco-Bin: AI Smart Waste Classification

Jan 2026 - Present

An intelligent, automated waste classification system bridging advanced deep learning with edge computing devices for real-time object detection.

  • Core Technical Developer
  • Tech: MQTT Protocol, Distributed Networks, Model Synchronization, Cloud-to-Edge Sync.
AI / Deep LearningEdge ComputingMQTT

ESP32 Smart Quick Shifter & Launch Control

May 2026 - Present

An ESP32-based automotive control system engineered for motorcycle tuning. Utilizes Hall effect sensors for precise gear-shift detection and engine ignition-cut timing.

  • Features: Quick Shifter, Launch Control, Pit Limiter.
  • Hardware-in-the-loop testing in high-vibration environments.
Embedded SystemsESP32Automotive Control

Kido Smart Ecosystem

IoT & Android App

An integrated ecosystem featuring an ESP32-based smart badge terminal for RFID attendance/badge claiming and a companion Kotlin Android app for parents to monitor activities and pair devices.

  • Hardware: C++, ESP32, PlatformIO, RFID MFRC522, I2C LCD.
  • Software: Kotlin (Android App), Firebase Realtime Database.
IoTESP32KotlinFirebase

CaloriLens

ML & Android

An AI-powered calorie tracking app combining computer vision (food recognition) with a native Android frontend for real-time nutritional estimation.

  • ML: Python, TensorFlow Lite, Computer Vision.
  • Android: Kotlin, Jetpack Compose, CameraX integration.
AIKotlinComputer Vision

Honors & Awards

1st Place Champion - ISSIC 2025

May 2025

Secured 1st Place in University Category and IoT for Health and Safety Sub-Theme at the IoT Smart Solution Innovation Challenge. Evaluated on hardware assembly precision and code troubleshooting speed.

Best Technology - PBL Expo Polinema

Nov 2025

Awarded 'Best Technology' as part of Tim Bolo Suryo, outperforming numerous project-based learning initiatives based on engineering complexity and real-world impact.

2nd Place - National UI/UX Design (IT-CAS)

Nov 2025

Secured 2nd Place at IT-Competition AMIKOM Surakarta by developing a user-centric digital product prototype using comprehensive UI/UX methodologies and Figma.

Bronze Medalist - National Essay

Feb 2026

Achieved Bronze at Forum Indonesia Muda (FIM) 2 for articulating strategic, innovative concepts and academic arguments addressing contemporary issues.

Other Experience

macOS Sequoia on ThinkPad T480

Systems Configuration

A high-stability Hackintosh implementation focusing on hardware compatibility and system performance. Bypassed macOS Sequoia's limited support for Intel wireless hardware through advanced spoofing and root patching techniques.

  • Graphics & Audio: Framebuffer patching for Intel UHD 620 via WhateverGreen and AppleALC (Layout ID 86) for HD Audio.
  • Power Management: Custom ACPI with SSDT-BATX for dual-battery and CPUFriend for efficient CPU frequency scaling.
  • Networking & I/O: OCLP root patching for Intel WiFi, Thunderbolt 3 hotplug (SSDT-TB3), and mapped I2C trackpad.
  • Stability: Resolved sleep/wake loops with SSDT-GPRW and handled CMOS boot issues via RTCMemoryFixup.
OpenCoreACPI / SSDTOCLPKernel Debugging

My Skills

Internet of Things (IoT)
Embedded Systems
ESP32 Microcontrollers
Circuit Design & Assembly
Hardware-in-the-loop Testing
Edge Computing
MQTT Protocol
Model Synchronization (AI)
Telecommunication Networks

Certificates

Research Grant

Pendanaan PKM-KC: Jaket Pintar Berbasis IoT

Kemenristek/DRPM

View Certificate
Course

Introduction to Large Language Models

IBM SkillsBuild

View CertificateVerify
AILLMPrompt Engineering
Course

Build an AI Agent (Intelligent by Design)

IBM SkillsBuild

View CertificateVerify
AI AgentsAgentic AI
Course

Make Agentic AI Work for You

IBM SkillsBuild

View CertificateVerify
Agentic AIWorkflow
Course

Introduction to Retrieval-Augmented Generation

IBM SkillsBuild

View Certificate
RAGVector DB
Course

Unleashing the Power of AI Agents

IBM SkillsBuild

View Certificate
Multi-agentAI Agents

Let's Connect

I'm always open to discussing new projects, creative ideas or opportunities to be part of your visions.