MN
Available for opportunities

Hello, I'm Munjal Nayak

I'm a |

Hardware and Embedded Systems Engineer with 3+ years' experience in SIL4 railway signalling, IoT products, and power electronics.

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Munjal Nayak
Embedded
Railway
IoT

About Me

Munjal Nayak working
3+ Years of
Experience

Hardware & Embedded Systems Engineer

I'm a passionate engineer with expertise in designing and developing embedded systems, PCB hardware, and IoT solutions. My journey has taken me through SIL4 safety-critical railway signalling systems at Alstom to innovative IoT product development.

Currently pursuing my Master of Electrical Engineering at UNSW Sydney, specializing in embedded systems and hardware design. I combine theoretical knowledge with hands-on experience to deliver robust engineering solutions.

Location Sydney, NSW, Australia
Education MEng @ UNSW (2025-2027)
Experience Alstom, Eleics Design
Languages English (IELTS 7.0)

Work Experience

ETCS Application Engineer

Alstom
2023 - 2025 India
SIL4 Railway Signalling Onboard Systems Data Configuration
  • Developed proficiency in European Vital Computer (EVC) systems including EVC 3, EVC 2 Plus, and EVC 2 for SIL4 onboard train control
  • Took ownership of onboard data system configuration and validation for MRTS trains in the NCRTC Delhi project
  • Prepared and validated configuration data for EVC modules, ensuring compliance with SIL4 safety requirements
  • Participated in system integration testing, structured fault investigation, and root-cause analysis

IoT Developer Intern

Eleics Design
2023 India
ESP32 Firmware IoT Product Development
  • Designed and developed embedded software for ESP32-based systems using ESP-IDF environment
  • Contributed to "WiDrive" product with PCB design input, firmware implementation, and system integration
  • Implemented industrial communication protocols including SPI, UART, MQTT, HTTP, and USB for IIoT applications
  • Collaborated in design reviews, test planning, and product reliability improvements

Education

Master of Electrical Engineering

University of New South Wales (UNSW) 2025 - 2027 (Expected)

Specializing in Embedded Systems and Hardware Design

Current

B.Tech in Electrical Engineering

Pandit Deendayal Energy University (PDEU) Graduated 2023
CGPA: 8.71/10 Final Project: 10/10 2 Research Papers

Skills & Technologies

Core Hardware

  • PCB & Schematic Design
  • Component Selection & Derating
  • DFM/DFT Considerations
  • SMD Soldering & Rework
  • Oscilloscope & Mixed-Signal Debug
  • Power Electronics
  • Hardware Bring-up

Embedded Systems

  • Embedded C (Bare-metal)
  • ESP32 (ESP-IDF)
  • STM32 Development
  • Python Scripting
  • UART/SPI/I2C Protocols
  • MQTT/HTTP APIs
  • RTOS Concepts

Systems & Networking

  • Docker & Proxmox VE
  • Ubuntu Server & Rocky Linux
  • Windows Server & AD
  • Azure IAM & AD
  • WireGuard & OPNsense
  • PostgreSQL & MariaDB
  • PKI & Certificate Management

Safety & Quality

  • SIL4 Safety Standards
  • Configuration Management
  • Git/GitHub Version Control
  • Test Planning & Documentation
  • EMC/ESD Awareness
  • Requirements Traceability

Certifications

Azure ML Models
RHEL Fundamentals
Docker for Beginners
Git & GitHub
IBM Cloud Computing
Power Electronics

Featured Projects

IoT / Industrial

IoT Smart Panel (Motor Control)

ESP32-based IoT controller to manage three-phase induction motor via VFD with cloud connectivity for data logging and predictive analysis.

ESP32 VFD Industrial IoT
Smart Home

IoT Smart Irrigation System

ESP32 + Home Assistant based smart irrigation for soil moisture and temperature monitoring with automated per-plant watering.

ESP32 Home Assistant Sensors
Power Electronics

5-Level Multilevel Inverter

Implemented 5-level H-bridge inverter using 5 MOSFETs with STM32 control, focused on switching strategy and efficiency optimization.

STM32 Power Electronics MOSFETs

Publications

ELSEVIER - Engineering Applications of Artificial Intelligence

"An explainable artificial intelligence based approach for the prediction of key performance indicators for a 1 megawatt solar plant under local steppe climate conditions."

ICSECT 2022

"Using machine learning techniques to predict the effect of different parameters on inverter efficiency."

Let's Work Together

Contact Information

I'm currently open to new opportunities and interesting projects. Feel free to reach out!

Location Sydney, NSW 2146, Australia