Education
Bachelor of Mechatronics Engineering (Honours)
Deakin University, VIC. Graduated with Distinction, July 2025.
Mechatronics Engineer · Robotics · Automation · AI/ML
Mechatronics Engineer in Robotics, Automation and AI/ML
Building intelligent, automated and robotic systems from hardware to software.
Mechatronics engineer specialising in robotics, industrial automation, control systems, embedded hardware and applied AI/ML, connecting sensors, actuators, control logic and intelligence into reliable systems.
0Years engineering
0Industries
0Major roles
Engineering Capability Map
One systems capability across twenty disciplines
- Mechatronics Systems
- Mechanical Design
- Electrical and Power
- Electronics and PCB
- Embedded and Firmware
- Control Systems
- Robotics and Autonomy
- Industrial Automation and SCADA
- Instrumentation and Sensors
- IoT and Telemetry
- AI and Machine Learning
- Computer Vision
- Data and Analytics
- Software and DevOps
- Simulation and Digital Twin
- Automotive and CAN
- Functional Safety and Standards
- Quality, Validation and Test
- Manufacturing and Production
- Systems Integration
- Project and Commissioning
Hover, tap or use arrow keys to explore each engineering domain.
01 About
A mechatronics engineer specialising in robotics, automation and AI/ML.
I am a mechatronics engineer with a primary focus on robotics, industrial automation and applied AI/ML. I build systems across the full stack, from mechanical design, PCB layout, embedded firmware and control logic through to ROS 2 autonomy stacks, SCADA platforms, data pipelines and ML-informed monitoring. My work sits where hardware, software and intelligence converge.
My delivery record spans smart factory automation and SCADA migration for regulated pharmaceutical and biotech clients, vehicle software and ADAS validation using CAN analysis, end-to-end IoT telemetry platforms, and robotics projects in ROS 2 with SLAM, path planning and sensor fusion. I hold a Bachelor of Mechatronics Engineering with Honours (Distinction) from Deakin University and am a Member of Engineers Australia. I have full Australian work rights on a Subclass 485 visa and am available immediately.
ROS 2
Siemens TIA Portal
PCS 7
PVI+
iFIX
Nav2
MoveIt 2
SLAM
Python
Embedded C/C++
ESP32
PCB Design
GAMP 5
ML / Anomaly Detection
InfluxDB
Grafana
Education
Higher National Diploma, Mechatronics, Robotics and Automation
Cardiff Metropolitan University, UK. Distinction, 2016.
02 How I Work
From concept to commissioned across robotics, automation and AI/ML.
One engineer across the full delivery path: mechanical and electronic design, control and robotics software, applied AI/ML, and structured validation through to commissioning and handover.
Concept and design
Turn requirements into a workable architecture: mechanical layout, electronics, control strategy and the right robotics, automation or AI/ML approach for the problem.
Build and integrate
Develop embedded firmware, PCBs, PLC and ROS 2 logic, integrate sensors, actuators and drives, and connect field devices to data pipelines into one working system.
Validate and commission
Prove behaviour with structured testing, FAT and SAT, CAN and signal analysis, and evidence-based reporting through to commissioning and handover.
Monitor and improve
Keep systems reliable with SCADA, IoT telemetry and dashboards, and apply machine learning for anomaly detection and predictive maintenance.
03 Portfolio
Engineering projects across robotics, automation, embedded sensing, IoT and AI/ML.
Project cards use real image assets, concise captions and detailed engineering notes without adding unsupported metrics.
Digital twin / industrial AI
Digital Twin and Industrial AI
Real-time factory digital twin with AI agents, anomaly detection, predictive maintenance and OEE analytics, built as an engineering concept.
Robotics / AI navigation
Autonomous Navigation and ROS 2 Robotics
ROS 2 autonomy concepts using SLAM, A* path planning, odometry, IMU fusion and modular navigation logic.
Capstone project
ESP32 Clinical Ataxia Assessment Concept
Final-year Mechatronics capstone at Deakin University: an embedded sensing concept using ESP32, IMU, ToF, Hall effect and magnetometer signals for movement assessment support.
IoT / telemetry
IoT GPS and Environmental Monitoring Platform
Low-power GPS and environmental monitoring with ESP32, LoRaWAN or MQTT telemetry and live dashboards.
Smart factory / SCADA
Smart Factory and Process Visualisation
HMI, SCADA, MES and batch-system concepts focused on traceability, diagnostics and operator usability.
Automotive validation
Vehicle Software and ADAS Validation
Vehicle software validation using structured test procedures, CAN analysis and evidence-based defect reporting.
Compliance testing
Vehicle Emissions and Compliance Testing
Repeatable emissions and compliance testing with instrumentation, data acquisition, QA records and defensible reporting.
Project detail
Digital Twin and Industrial AI
- Problem
- Factories benefit from a live, model-based view of equipment so faults are caught early and throughput and quality stay stable.
- Situation
- Built as a personal engineering concept that mirrors a production line in software, not a deployment in a live plant.
- Plan
- Combine a real-time digital twin, simulated sensor and OEE data, AI agents, anomaly detection and predictive maintenance logic into one monitoring concept.
- Action
- Modelled equipment and process states, generated telemetry, and developed anomaly detection, predictive maintenance and OEE analytics with dashboard visualisation.
- Output
- Produced a working concept that surfaces anomalies, flags maintenance needs and reports OEE in real time for an engineering demonstration.
Project detail
Autonomous Navigation and ROS 2 Robotics
- Problem
- Autonomous systems need reliable localisation, mapping and obstacle-aware navigation.
- Situation
- Built as a robotics project combining simulation concepts and physical-system thinking.
- Plan
- Combine ROS 2, Gazebo, RViz, SLAM, A* planning, odometry and IMU fusion into a modular stack.
- Action
- Developed navigation logic, structured nodes, tuned control behaviour and validated sensing workflows.
- Output
- Produced a working autonomy concept with realistic path visualisation and repeatable navigation behaviour.
Capstone project detail
ESP32 Clinical Ataxia Assessment Concept
- Problem
- Movement assessment benefits from clearer, repeatable and sensor-based measurement.
- Situation
- Built as Sajeevan's final-year Mechatronics capstone project at Deakin University, focused on capturing motion and coordination signals.
- Plan
- Combine ESP32 control with IMU, ToF, Hall effect and magnetometer sensing.
- Action
- Developed firmware logic, integrated sensors and captured movement data for analysis.
- Output
- Produced a proof-of-concept measurement platform for repeatable motion assessment support.
Project detail
IoT GPS and Environmental Monitoring Platform
- Problem
- Remote assets need reliable location, environmental visibility and telemetry.
- Situation
- Designed for field and asset tracking use cases with low-power device constraints.
- Plan
- Combine ESP32, GPS, environmental sensors, telemetry and dashboard data flow.
- Action
- Configured devices, telemetry, dashboards and end-to-end data ingestion workflows.
- Output
- Delivered live monitoring with mapping, trends, device data and actionable operational insight.
Project detail
Smart Factory and Process Visualisation
- Problem
- Operations need clearer traceability, diagnostics and process visibility.
- Situation
- Applied in smart factory and regulated manufacturing contexts spanning HMI, visualisation and MES.
- Plan
- Connect field devices, control logic, SCADA and production data into one workflow.
- Action
- Structured interfaces, diagnostics, reporting and operator-facing visual workflows.
- Output
- Delivered clearer process visibility with trends, alarms, reporting and usability focus.
Project detail
Vehicle Software and ADAS Validation
- Problem
- Vehicle features must remain stable across variants, running changes and software updates.
- Situation
- Used in validation workflows for integrated vehicle and driver-assistance features.
- Plan
- Instrument systems and capture CAN, diagnostics and feature behaviour evidence.
- Action
- Executed regression tests, analysed traces and isolated faults through structured testing.
- Output
- Produced evidence-based validation insights for ADAS and software feature readiness.
Project detail
Vehicle Emissions and Compliance Testing
- Problem
- Compliance testing requires accurate, repeatable and auditable environmental measurements.
- Situation
- Applied in regulated testing environments for emissions and certification support.
- Plan
- Instrument the test setup and log exhaust, operating and performance data.
- Action
- Ran procedures, captured data and reviewed trends, deviations and test evidence.
- Output
- Delivered defensible compliance results and structured reporting for certification work.
04 Skills and Tools
Tools and technologies across robotics, automation, embedded systems and AI/ML.
A scannable reference grouped by domain, presented as working exposure and practical capability rather than claims of proprietary system ownership. Use the filters to focus on a single area.
Robotics and Autonomy
- ROS 2 (Humble)
- Nav2
- MoveIt 2
- Gazebo
- RViz
- SLAM
- A* path planning
- Kalman and EKF
- Sensor fusion
- LiDAR, IMU, depth cameras
- OpenCV
- PID control
Controls and Automation
- PLC programming (IEC 61131-3)
- Siemens TIA Portal
- WinCC
- PCS 7
- iFIX
- PVI+
- HMI and SCADA
- MES and batch execution
- Modbus TCP/RTU
- Profinet
- FAT, SAT and commissioning
- GAMP 5 / FDA 21 CFR Part 11
Embedded Systems and Electronics
- ESP32 and ESP32-S3
- STM32
- Embedded C and C++
- FreeRTOS
- PCB design (Altium, KiCad)
- Schematic capture
- UART, I2C, SPI, CAN, ADC, PWM
- Signal conditioning
- Sensor and actuator integration
- Board-level bring-up
AI/ML and Data
- ML fundamentals
- Anomaly detection
- Statistical modelling
- Feature extraction
- Python (NumPy, Pandas, scikit-learn)
- MATLAB and Simulink
- InfluxDB
- Grafana
- MQTT
- REST APIs
- Git and Linux
- Test automation
Mechanical Design and CAD
- SolidWorks
- Fusion 360
- Part and assembly modelling
- Engineering drawings and GD&T
- Mechanism design
- FEA exposure
- 3D printing (FDM)
- Pneumatics and hydraulics
- VFDs and motor drives
- Control schematics
Automotive and Validation
- Vector CANoe
- Vector CANalyzer
- CAN bus and CAN FD
- ADAS validation
- OTA regression testing
- AVL and emissions systems
- ADR and EURO exposure
- QA records, ITPs, MDRs
- FMEA
- ISO 13849 / IEC 62443
05 Engineering Disciplines
The full breadth, one discipline at a time.
A complete reference to the engineering domains behind the capability map, each framed honestly as hands-on work, practical capability, working knowledge or exposure. Tools and standards are drawn from the skills and projects on this page.
Mechanical and electrical
Mechanical Design
Hands-on CAD, mechanism and part design for mechatronic assemblies.
- SolidWorks
- Fusion 360
- GD&T
- Mechanism design
- FEA exposure
- 3D printing (FDM)
Mechanical and electrical
Electrical and Power
Practical motor control, drives and control-panel wiring.
- VFDs and motor drives
- Control schematics
- Instrumentation wiring
- Signal conditioning
Embedded and electronics
Electronics and PCB
Working capability from schematic capture and PCB layout to board bring-up.
- Altium
- KiCad
- Schematic capture
- Board-level bring-up
- Signal conditioning
Embedded and electronics
Embedded and Firmware
Hands-on microcontroller firmware in C and C++ on ESP32 and STM32.
- ESP32 / ESP32-S3
- STM32
- Embedded C/C++
- FreeRTOS
- UART, I2C, SPI
- ADC, PWM
Controls and automation
Control Systems
Practical control loops, state estimation and PLC logic.
- PID control
- Kalman and EKF
- IEC 61131-3
- MATLAB and Simulink
Robotics and autonomy
Robotics and Autonomy
Hands-on ROS 2 autonomy across mapping, planning and sensor fusion.
- ROS 2 (Humble)
- Nav2
- MoveIt 2
- Gazebo
- RViz
- SLAM
- A* path planning
Controls and automation
Industrial Automation and SCADA
Delivery experience in PLC, HMI, SCADA and MES for regulated plants.
- Siemens TIA Portal
- WinCC
- PCS 7
- iFIX
- PVI+
- MES and batch
- Modbus
- Profinet
Embedded and electronics
Instrumentation and Sensors
Practical sensor integration, signal conditioning and data capture.
- IMU
- LiDAR
- Depth cameras
- ToF
- Hall effect
- Magnetometer
- Sensor fusion
Embedded and electronics
IoT and Telemetry
Hands-on low-power telemetry from device through to dashboard.
- ESP32
- LoRaWAN
- MQTT
- GPS
- InfluxDB
- Grafana
AI, data and software
AI and Machine Learning
Applied ML for anomaly detection and predictive maintenance.
- Anomaly detection
- Feature extraction
- Statistical modelling
- scikit-learn
- Predictive maintenance
Robotics and autonomy
Computer Vision
Working knowledge of vision pipelines for perception.
- OpenCV
- Depth cameras
- Sensor fusion
AI, data and software
Data and Analytics
Practical time-series pipelines, dashboards and OEE analytics.
- Python (NumPy, Pandas)
- InfluxDB
- Grafana
- OEE analytics
- Statistical modelling
AI, data and software
Software and DevOps
Practical Python and C/C++ with Git, Linux and test automation.
- Python
- Embedded C/C++
- Git
- Linux
- REST APIs
- Test automation
AI, data and software
Simulation and Digital Twin
Concept-level simulation and real-time digital-twin modelling.
- Gazebo
- RViz
- MATLAB and Simulink
- Digital twin concept
- OEE analytics
Validation and quality
Automotive and CAN
Validation experience with CAN analysis and ADAS features.
- Vector CANoe
- Vector CANalyzer
- CAN bus
- CAN FD
- ADAS validation
- OTA regression
Validation and quality
Functional Safety and Standards
Working knowledge of machinery, security and quality standards.
- ISO 13849
- IEC 62443
- GAMP 5
- FDA 21 CFR Part 11
- IEC 61131-3
Validation and quality
Quality, Validation and Test
Structured, evidence-based testing and QA documentation.
- FAT
- SAT
- FMEA
- QA records
- ITPs
- MDRs
- Test automation
Delivery and manufacturing
Manufacturing and Production
Production-floor, traceability and inspection experience.
- Production workflows
- Traceability
- Inspection planning
- Drawing review
- 3D printing (FDM)
Delivery and manufacturing
Systems Integration
Hands-on integration of sensors, actuators, control logic and data flows.
- Sensor and actuator integration
- Field devices
- Control logic
- Data pipelines
- HMI, SCADA, MES
Delivery and manufacturing
Project and Commissioning
Delivery through FAT, SAT, commissioning and handover.
- FAT
- SAT
- Commissioning
- Qualification
- Handover
- GMP / GAMP 5
06 Experience
Concise timeline across automation, validation, IoT, manufacturing and QA.
Automation Engineer
JAG Process Solutions Pty Ltd
- Delivered automation and smart factory engineering for pharmaceutical, biotech, food and process clients under GMP, spanning control logic, HMI and process visualisation, MES and batch execution.
- Executed an iFIX to PVI+ SCADA platform migration as a priority delivery item, converting application content and verifying functional behaviour against the existing validated system.
- Produced FAT, SAT, commissioning, qualification and handover documentation, and resolved faults raised during testing and site support.
- Integrated field devices, sensors, drives and process equipment with control logic and production data flows, with attention to diagnostics, safety, usability and data integrity.
Product Development Test Engineer
Ford Motor Company via Invenio
- Validated vehicle software integration and ADAS features across the T6 Ranger and Everest programmes, running feature vehicle, breadboard and regression testing for readiness milestones, OTA updates and sign-off evidence.
- Instrumented test vehicles and conducted structured test drives in controlled and real-world conditions using corporate test procedures.
- Captured and analysed CAN bus data with Vector CANoe and CANalyzer for fault isolation and evidence-based defect reporting.
Technical Assistant
ABMARC
- Supported vehicle emissions and compliance testing using instrumentation, data acquisition and repeatable procedures.
- Contributed to QA records, regulatory documentation, trend review and defensible reporting.
Consultant Engineer, Internet of Things
DuxTel Pty Ltd
- Supported IoT solutions linking sensors, embedded devices, gateways, platforms and dashboard workflows.
- Worked with InfluxDB, Grafana and technical documentation for monitoring and operational support.
IoT Projects Administrator
DuxTel Pty Ltd
- Supported LoRaWAN, ESP32, GPS tracking, environmental sensing and device administration workflows.
- Contributed to firmware configuration, provisioning, testing and deployment support.
Earlier manufacturing and QA roles
IDL, Carbon Revolution and Thornton Engineering Australia Pty Ltd
- Built practical production-floor, manufacturing, quality, traceability and operator workflow experience.
- Supported QA records, ITPs, MDRs, drawing review, inspection planning and disciplined documentation.
07 Leadership, Teams and Community
Teamwork, mentoring and multidisciplinary collaboration.
Student engineering teams, peer mentoring and community involvement that build the teamwork, communication and cross-discipline collaboration behind the technical breadth.
Student engineering team
Mars Rover Team, Deakin University
Member of the multidisciplinary student rover team, contributing to an engineering project spanning mechanical, electronics, control and software work.
Peer mentoring
Math Mentors
Peer mathematics mentor supporting fellow students with problem solving, study skills and exam preparation.
Student volunteering
Peer Support
Peer support volunteer helping fellow students settle in, stay connected and find the right help.
Student association
Deakin University Student Association (DUSA)
Involvement with the student association and campus community activities alongside study.
08 What I Bring
Engineering strengths suited to robotics, automation and AI/ML roles.
01
Full-stack robotics: ROS 2, Nav2, SLAM, sensor fusion, path planning and simulation through to physical integration and commissioning.
02
Industrial automation and SCADA delivery: PLC, HMI, MES, batch systems, platform migration, FAT/SAT, and GMP-regulated validation discipline.
03
Applied AI/ML: anomaly detection, feature extraction, statistical modelling and data pipeline design integrated into real engineering workflows.
04
Embedded hardware to firmware: PCB design, ESP32/STM32, embedded C/C++, FreeRTOS, and full sensor and actuator integration.
05
Mechanical to electrical integration: SolidWorks, Fusion 360, control schematics, VFDs, instrumentation wiring and system commissioning.
06
Structured quality and validation: evidence-based testing, QA records, ITPs, MDRs, FMEA and documentation built for traceability and regulatory review.
09 Certifications, Training and Standards
Qualifications, membership and standards I work to.
Listed where defensible from formal study, professional membership and applied project and industry experience.
Education
- Bachelor of Mechatronics Engineering (Honours), Distinction. Deakin University, VIC, 2025.
- Higher National Diploma, Mechatronics, Robotics and Automation, Distinction. Cardiff Metropolitan University, UK, 2016.
Membership
- Member, Engineers Australia.
Standards and frameworks (working knowledge)
- GAMP 5
- FDA 21 CFR Part 11
- ISO 13849
- IEC 62443
- IEC 61131-3
10 Selected Writing and Notes
Engineering notes and project write-ups.
Short technical notes and case studies. This section will grow as write-ups are published.
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Project note
Building a factory digital twin with AI agents, anomaly detection and OEE analytics
How the digital twin concept models equipment, generates telemetry and surfaces anomalies, maintenance needs and OEE in real time.
11 Contact
Available immediately for robotics, automation and AI/ML engineering roles.
Based in Geelong, Victoria, Australia. Open to roles across robotics, automation, embedded systems, AI/ML and smart factory engineering. Open to relocation within Australia. Subclass 485 visa, full Australian work rights, no employer sponsorship required.