Production AI
Leading research and delivery for enterprise LLM and agentic experiences across complex workflows.
Principal Applied Scientist Team Lead
Turning frontier AI research into products, teams, and real-world impact.
I lead applied science at the intersection of large language models, agentic systems, reinforcement learning, and computer vision—connecting scientific ambition with dependable delivery.
- LLMs & agentic AI
- Research to production
- Technical leadership
Principal Applied Scientist at Oracle
Australia
Profile
Research depth. Product judgement. Leadership range.
I am a Principal Applied Scientist and team lead at Oracle, working across the full AI lifecycle—from research and evaluation to product strategy, production delivery, and team development.
My career spans enterprise technology, applied machine learning, academic research, and startup product development. That range shapes how I lead: I pair scientific rigour with practical judgement, communicate clearly across disciplines, and build systems around outcomes rather than novelty alone.
I hold a PhD in Computer Science, with research in reinforcement learning and multi-agent systems. Today, I apply that foundation to modern generative and agentic AI challenges.
Selected impact
Building capability that lasts beyond a single model release.
My work combines scientific direction, product ownership, and team leadership across high-value AI initiatives.
Model quality
Improving capability and efficiency through evaluation, alignment, data strategy, and optimisation.
Team leadership
Growing applied science teams and creating the clarity, standards, and trust required for strong delivery.
Responsible innovation
Translating original research into useful, defensible AI systems while protecting sensitive work.
Research → productionEnd-to-end ownership
Academic + startup + enterpriseCross-context perspective
Global collaborationAustralia, UK, and US
Career journey
A path shaped by increasingly complex AI problems.
My experience is not a straight list of roles. It is a progression from enterprise systems and applied machine learning to original research, startup experimentation, and large-scale AI product leadership.
Current focus
Oracle
Principal Applied Scientist & Team Lead
Leading applied AI research, technical direction, and delivery across enterprise LLM and agentic systems.
Product building
Startup AI
Agentic Systems in a Fast-Moving Environment
Developed agentic and multi-agent LLM capabilities in a fast-moving startup environment.
Research depth
International academic research
Reinforcement Learning & Human–AI Collaboration
Advanced reinforcement learning, multi-agent systems, healthcare AI, and human–AI teaming through international research.
Systems foundation
Enterprise technology
Reliability, Product & Delivery
Built an early foundation in requirements, testing, operational reliability, and stakeholder delivery.
Leadership
“The best applied science teams pair intellectual ambition with clarity, trust, and a shared definition of impact.”
Set a clear scientific strategy
Turn open-ended product questions into research priorities, evaluation plans, and decisions teams can execute.
Build teams that compound
Hire thoughtfully, mentor with context, and create an environment where strong scientists raise one another’s standards.
Connect research to outcomes
Align applied science, engineering, product, and senior stakeholders around evidence, trade-offs, and responsible execution.
Public innovation
Turning original ideas into defensible AI capability.
I am a co-inventor across generative AI, agentic systems, synthetic data, and AI-assisted software engineering. Only already-public records are shown here; other invention work is intentionally not listed.
Selected research
Selected work in modern language models and embodied intelligence.
2025
2022
NAACL · CodeLLMs
Mastering the Craft of Data Synthesis for CodeLLMs
A taxonomy and practical guide to data synthesis and filtering for code-focused language models.WACV · Reinforcement learning
ForeSI: Success-Aware Visual Navigation Agent
Teaching navigation agents to imagine successful future states and act with greater robustness.Recognition
A record of academic excellence and applied innovation.
- ValedictorianRecognition for outstanding academic performance
- Dean’s Academic ExcellenceAwarded for academic distinction
- Graduate Research ScholarshipCompetitive doctoral scholarship
- Innovation challengesRecognition for applied AI problem-solving