AI/ML leader with 10+ years shipping production systems across Oceania, Asia and South
America—managing up to 18 data science and ML engineering professionals across three teams, from strategy to consumer and business impact in agents,
search, recommendations and multimodal AI.
Global digital property business · home to realestate.com.au.
— Present
Built and managed up to 18 data science and ML engineering professionals across three teams, partnering with Product Managers, Heads of Product, Delivery Managers/Leads, UX/Design, Security, Legal, Consumer and GTM leaders.
Designed and implemented the end-to-end GenAI property-search solution, including evaluation and structured outputs; led its cloud-scale deployment in one month, helping change a search approach established over 25+ years.
Designed and implemented the AI agent framework and production agentic runtime for realestate.com.au’s first production, real-time conversational AI—including tool access, guardrails and request/response contracts—and led the design, evaluation and vendor comparison for memory.
Designed real-time multimodal inference across golden-set creation, evaluation and serving, combining
listing text and images to expose 45+ property attributes.
Owned GenAI economics and latency through prompt caching, token-level cost tracking and performance
controls, keeping production responses within 1–2 second service-level targets.
Led the definition and rollout of AI governance controls across rate limiting, evaluation, monitoring and guardrails; partnered with Security to ensure the penetration test was completed and the solution passed its security checks.
Online employment marketplace operating across Australia, New Zealand and Asia.
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Built and led a global data science team of approximately 10 while hiring across multiple AI teams.
Across controlled online experiments in ANZ and seven Asian markets, delivered
5–10x gains in a primary recommendation metric, with a 12x peak uplift in one market.
Delivered a unified recommender platform across ANZ and seven Asian markets—MY, SG, PH, TH, ID, HK and VN—serving millions of users across real-time homepage, email and push experiences.
Designed and implemented the end-to-end JobsDB AI search replacement—from source-data ingestion and enrichment through synonym expansion, AI-enriched lists, retrieval and behaviour-aware reranking—delivering a 14% lift in overall user interaction in a controlled Hong Kong experiment.
Used 150+ online experiments to de-risk search, ranking and personalization decisions,
alongside offline evaluation and load testing for approximately 500 ms recommendation targets.
Brazilian technology and online recruitment platform.
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Led a small team of data scientists and engineers delivering production recommender systems for candidates and hirers, improving both candidate and hirer experiences through real-time systems at scale, including more than 115% uplift in a primary user engagement metric.
Delivered hybrid recommenders combining collaborative filtering and content-based methods, applying
NLP and machine learning to hiring-marketplace challenges.
Earlier AI/ML and software engineering journey · —
Machine Learning Engineer · RBS Group / Appus–Built recommender systems, NLP, forecasting and classification with Python, Scala, Java, AWS, Redis and MongoDB.
ZUNMachine Learning Specialist · Zunnit TechnologiesDeveloped large-scale information retrieval and content recommendations for commerce and news using Java and Python.
TOTSoftware Analyst · TOTVS–Developed global HR software in C#/.NET.
CILResearch Assistant · Computational Intelligence Lab–Applied artificial neural networks to forecasting, contributing to peer-reviewed IEEE research.
Selected work
AI systems shipped
Representative systems spanning AI agents, multimodal inference, information retrieval and recommendations.
01
First real-time conversational AI
Production · consumer-facing · scalable in cloud
Designed and implemented the AI agent framework and production agentic runtime for realestate.com.au’s first production, real-time conversational AI—including tool access, guardrails and request/response contracts—and led the design, evaluation and vendor comparison for memory.
AI agentsTool useObservability
02
GenAI property search
Helped change a 25+ year search approach in one month
Designed and implemented the end-to-end GenAI property-search solution, including evaluation and structured outputs; led its cloud-scale deployment in one month, helping change a search approach established over 25+ years.
Replaced isolated market solutions with a reusable platform serving millions across real-time homepage, email and push recommendations in MY, SG, PH, TH, ID, HK, VN and ANZ.
RecommendersRankingExperimentation
04
Multimodal attribute extraction
45+ property attributes in real time
Delivered production computer vision and multimodal transformer inference that extracted semantic
property-photo attributes for downstream search and listing quality.
Multimodal AIComputer visionTransformers
Expertise
Leadership + technical depth
Hands-on technical judgement paired with team, product and operating leadership for production AI.
Agentic AI & GenAI
AI agents, agent orchestration, tool calling, stateful workflows, memory, structured outputs, embeddings,
evaluation, guardrails and fine-tuning.
AI search & recommendations
Information retrieval, hybrid and semantic search, search relevance, ranking and reranking,
learning-to-rank, sequential recommenders and large-scale personalization.
Evaluation, safety & MLOps
Agent evaluation, continuous evaluation, online experimentation, observability, tracing, guardrails,
AI governance, latency and cost control across AWS, GCP and Vertex AI.
Teams & strategy
Organization design, hiring, mentoring, executive OKRs and cross-functional product strategy—translating
AI opportunities into reliable systems, reusable platforms and measurable outcomes.
Research & recognition
Grounded in the field
Industry recognition, recommender-systems research and a computer science foundation.
Selected recognition
Winner, REA Hackdays — Hack it Forward Award for Community, Social & Environmental Good (2024)
Top performer, Databricks Gen-AI Australia Cup (2023)
Winner, SEEK International Volponi Award (2017)
Student Medal for Excellence, B.Sc. Computer Science (2009)
