- Lead Generative AI innovation and engagements for clients across APAC
- Leverage opensource LLMs and Watsonx to create value for enterprises: code understanding and translation, semantic search, question-answering, etc.

AI Engineer - Generative AI Leader

- Led client engagements and managed teams of data scientists, engineers and designers; communicated the business value of machine learning to non-technical stakeholders  
- Object detection using deep learning techniques (YOLO, Detectron)
- Designed and implemented domain-specific natural language search, analysis and custom insights extraction solutions on Cloud AI platforms 
- Developed Python SDKs for deep learning model deployment (opensource project)
- Machine learning in production (MLOps, CI/CD & CT)
- Basic practical experience in docker, k8s, Openshift, containerisation and GitOps 
- Kanban project management and Agile

Data Scientist

- Seizure detection using wearable sensors: created novel deep learning seizure detection systems that can detect more seizure types than existing methods 
- Large datasets, time series classification, compared traditional time series classification and feature engineering methods with deep learning methods
- Python, PyTorch, scikit-learn

Research Scientist

UNSW

- MARK 5826 Product Analytics
- Build chatbots using Watson Assistant, recommendation systems using Watson Studio

Guest Lecturer

Monash University and Defence Science and Technology (DST)

- Natural Language Processing: Automatic knowledge graphs construction and reasoning from unstructured text, images and tables 
- Customised information extraction in the maritime domain using distant supervision 
- Python, SQL

Postdoctoral Research Fellow

Monash University

- Developed novel deep reinforcement learning algorithms and online learning algorithms for generating and optimising multi-robot behaviours
- Machine learning models designed and trained from scratch
- Data visualisation and analysis in Python (Numpy, Pandas, scikit-learn)
- 3D visualisation in commercial robotic simulation software

PhD Candidate - Machine Learning

- Primary programmer for a project that facilitates geodata collection using UAVs
- Drone hardware and  sensor integration
- Photogrammetry processing using Agisoft Photoscan
- User interface design and development using Electron and Node.js

Research Assistant

- Telecommunications, Programming Fundamentals, Business Information Systems, Computing for Engineers
- Developed communication and public speaking skills

Teaching Associate

- Programmer for a research project using Kinect for sign language learning, in collaboration with Deaf Children Australia
- Co-designed and implemented a finger tracking algorithm using Particle Swarm Optimisation

Programmer

- An open-source C++ library developed to access the hardware on AR Drone 2.0 to achieve extended mobility
- Computer vision and localisation techniques used for 3D mapping of the surrounding environment

Summer Internship

Defence Science and Technology Group

- Applied Deep Reinforcement Learning with Monte-Carlo Tree Search to a turn-based game
- Developed machine learning (neural network) models from scratch using Tensorflow and Keras

Student Intern

iSigma

- Cream cheese bag anomaly detection using camera images 
- Used CNN and Keras; implemented in Python

Machine Learning Engineer

PhD, adaptable and creative thinking data scientist, with strong programming and research background in machine learning/deep learning. Passionate about using machine learning to solve real-world problems.


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