Welcome to my personal website!
This is my personal platform to share my story as I progress through my professional career, achieving my professional and personal goals while contributing to my philanthropic interests.
I am a Firmware Test Engineer at Catapult Sports, Australia developing world class solutions to support elite sports performance while shaping it’s future.
I specialize in Embedded System Development including CAD, PCB, Embedded Intelligence and IoT system design, Embedded and Multi-platform Software development (Firmware and Applications), Data Analytics including Machine Learning, and End-To-End System design for Remote Hosted, Edge, or Cloud-based Processing or Actuation. Former Research Engineer of Deakin University, leading the Electronic System Development of BioKin Devices to support in clinical diagnosis of Ataxia.
Firmware Test Engineer at Catapult Sports (August 2022 - Present)
Research Engineer in Systems Development at Deakin University (August 2020 - July 2022)
Developed three medical devices for guiding therapy in Ataxia. The project was funded by the Biomedical Translational Bridge program of Medical Research Future Fund
Led the Electronic Module Design team with critical design and manufacturing decisions and reviews to manufacture devices timely for clinical trials. The devices are currently in process for FDA approval
Maintained hardware and software designs compliant to FDA, TGA, CA, ISO, and UL standards while assuring product quality
Managed Suppliers: Negotiated with EMC testers and manufacturers, maintained deadlines, mitigated risks from Covid-19 and shortage of electronic components. Consulted AWS in building and deploying cloud based IoT system architecture
Administered the Jira based QMS and Source Control (Bitbucket and GitLab)
Designed PCBs, CAD files and firmware for three wireless devices: one wearable on wrist or chest, and two instrumented (a cup and a spoon) to collect motion data to evaluate Ataxia with Machine Learning models. Devices were built to communicate directly to the AWS cloud using Wi-Fi or via mobile app using BLE.
Casual Academic at Deakin University (August 2020 - July 2022)
Marked over 200 assignments and examinations of academic unit Data Communication (SEE312)
Supervised over 20 undergraduate and postgraduate projects & Internship programs offered by Network Sensing and Control (NSC) Research Lab students
Research Assistant at Deakin University (January 2019 - December 2019)
Programmed ESP8266 microcontroller to establish TCP/IP communication between Deakin Smart Bag and Server. The bag is an IoT solution integrated with RFID technology for convenient baggage management
Developed a Cerebellar Ataxia Evaluation Platform using Python for Windows and Mac OS: The platform collects haptic data from screen and motion data from wireless sensors while participants use integrated neurological tests. The system uses a remote server to host Machine Learning models for evaluation. The outcomes were published in IEEE Xplore (Multi-domain Data Capture and Cloud Buffered Multimodal Evaluation Platform for Clinical Assessment of Cerebellar Ataxia
Honours & Awards
Innovation Award - Deakin University
Issued by School of Engineering in 2019 for the final year undergraduate project
Issued by Networked Sensing & Control Research Lab at Deakin University in 2019. Funded by NHMRC grants GNT1101304, APP1129595 and Friedreich’s Ataxia Research Alliance (FARA) ride Ataxia Europe Research Award
Deakin IoT Smart Bag - Media Appearance
9News Australia, Australian and global newspapers and E-news providers
ASSOCIATED WITH DEAKIN UNIVERSITY
Quantitative assessment of Cerebellar Ataxia using human motor functions
**Funded by National Health and Medical Research Council, Australia
Quantitative assessment of Friedreich Ataxia using human motor functions
**Funded by Friedreich’s Ataxia Research Alliance (FARA) rideATAXIA Europe research award
Cloud computing and IoT based health monitoring systems (Aug 2019 - Jul 2022)
Data capture and analysis systems for human motion and behaviour (Aug 2019 - Jul 2022)
Blockchain for IoT Networks (Feb 2021 - Nov 2021)
Ultra-Low Power IoT System Design for Data Logging and Streaming (Feb 2021 - Nov 2021)
Detection and Tracking Systems using Thermal Infrared Vision (Feb 2020 - Nov 2020)
Localization and Mapping Systems for Mobile Robots and Human Motion Capture (Feb 2020 - Nov 2020)
Developing a Device for Guiding Therapy in Ataxia and Imbalance (Jan 2020 - July 2022)
**Funded by Medical Research Future Fund
A smart bag integrating IoT, RFID technology and cloud processing. The project was published and broadcasted in Australian and global media.
Lbrain electronic platform (Jul 2018 - May 2019)
Developed an electronic platform integrating CM1K Neuromorphic chip and ATMEGA 2560V microcontroller
Neuromorphic Chip Embedded Cognitive Computer Systems to Expand AI Applications (Jul 2018 - May 2019)
Lbrain (electronic AI hardware) platform development for universal applications. Cognitive Computer based on Lbrain. AI integrated multi - purpose software development (UWP - C#). IoT sensors for AI integration (Windows 10 IoT Core).
AI on a chip (Jul 2018 - Oct 2018)
Integrating AI ASICs for embedded system development.
Academic Project- Power Distribution Substation Design (Jul 2018 - Aug 2018)
Planning and designing a safe power distribution substation to suit an estimated daily load profile of customers.
Power Generation and Distribution system design (Mar 2017 - Jun 2017)
The system was designed to provide power to an estimated load and area.
Manufacturing Plant Performance Display System (Nov 2018 - Dec 2018)
A microcontroller based High Voltage - 7 segment display system to display real time machine performances from machine pulse counts, contacts and timers. The solution was integrated in a corrugated carton manufacturing plant.