CV

Data Scientist - Education Innovation

UNSW

Designed and delivered the Academic Success Monitor (ASM), an award-winning AI/ML platform for early identification of academically at-risk students and evidence-based interventions.

• Achieved 78% student coverage and 67% course adoption across the university.
• Re-architected the ASM data lake by integrating Moodle, Echo360, ECOS, and SIMS into a unified AI/ML-ready platform.
• Established scalable MLOps and secure data governance with Databricks Unity Catalog.
• Designed, developed, and deployed more than 10 machine learning models, achieving 82% recall and 75% precision.
• Supported engagement across 136 academic staff and 1,283 students.
• The project won the Gartner Eye on Innovation Award for Education and the QS Reimagine Education Award, and was featured by UNESCO.

Lead Data Scientist

InvertiGro

• Developed an organizational AI strategy and action plan with project stakeholders.
• Designed machine learning models for predictive maintenance, crop yield prediction, and real-time plant stress detection using IoT sensor data.
• Managed model training and cloud infrastructure on Databricks.
• Worked with data engineers on CI/CD pipelines for ML models and training components.

Data Scientist - Semantic Search Engine

Foretheta

• Designed and implemented the scalable Traindex.io patent retrieval system while leading a remote engineering team.
• Applied Latent Semantic Indexing and Latent Dirichlet Allocation to improve search accuracy beyond keyword matching.
• Built Apache Spark MLlib and Gensim pipelines that reduced text processing time from approximately 9 hours to 30 minutes.
• Improved retrieval performance through TREC, CLEF, and NTCIR benchmarking.
• Worked with approximately 1 TB of patent text and reduced cloud training costs by around 30%.

Data Scientist - Recommender System

Patari

• Designed and implemented an LSTM-based multilingual and multi-genre music recommender in TensorFlow.
• Developed scalable pipelines for implicit user interactions and session-based recommendations.
• Led A/B testing on live production traffic and evaluated retention, diversity, and novelty.
• Benchmarked the system against traditional collaborative filtering approaches.

Software Engineer - Blockchain Development

Redbrick Systems

• Contributed to the Onename identity system for secure, blockchain-tied user profiles.
• Built decentralized domain registration for the .id namespace on Blockstack.
• Developed profile search using Python, Flask, Elasticsearch, Memcached, and MongoDB.
• Built scalable e-commerce web crawlers to extract and index product data across marketplaces.

Ph.D.

University of Wollongong

Computer Science and Applied Machine Learning

• Decision Systems Lab

M.Sc.

University of Wollongong

Software Engineering and Intelligent Systems

Cross-Silo Process Mining with Federated Learning

Service-Oriented Computing: 19th International Conference (ICSOC)

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System

Service-Oriented Computing: 19th International Conference (ICSOC)

Decision Support for Knowledge Intensive Processes Using RL Based Recommendations

International Conference on Business Process Management

Mining Goal Refinement Patterns: Distilling Know-How from Data

International Conference on Conceptual Modeling