Jiayuan (Jane) Fu

Product Manager

Sydney, New South Wales, Australia6 yrs 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led AI initiatives driving significant commercial uplift.
  • Advocated for AI literacy across diverse audiences.
  • Delivered impactful forecasting models for Fortune 500 clients.
Stackforce AI infers this person is a Data Science and AI specialist with a focus on retail and SaaS solutions.

Contact

Skills

Core Skills

Generative AiStakeholder EngagementData ScienceDevopsMlopsNatural Language Processing (nlp)User Experience (ux)

Other Skills

AgileAmazon Web Services (AWS)CI/CDCloud ComputingCommercial DrivingComputer VisionCustomer ServiceDALL-EData & AI strategyData AnalysisData quality improvementDeep LearningDemand ForecastingDigital transformationDocker

About

👋 Hi there — thanks for visiting my page and taking a moment to get to know me. I lead in Data and AI with a belief that technology creates its greatest value when it is human-centric. My work connects data, design, and decision-making to drive meaningful business outcomes. With experience across retail, manufacturing, and consumer industries, I’ve delivered AI and data science solutions that combine technology with real-world impact — from demand forecasting and pricing optimisation to GenAI systems that improve how organisations make decisions and innovate. I focus on turning complexity into clarity — helping teams and leaders connect advanced analytics and AI with actionable outcomes, keeping responsible, effective, and sustainable innovation in mind. Outside work, I enjoy connecting with nature, art, and community.

Experience

Pwc australia

Manager | Data & AI

Oct 2025Present · 5 mos · Sydney, New South Wales, Australia · Hybrid

Freelance

Data & AI Specialist | Agentic AI

Oct 2024Oct 2025 · 1 yr · Sydney, New South Wales, Australia · Remote

  • 【 Key Contribution 】
  • Advised a senior stakeholder on Data & AI strategy to support digital transformation goals.
  • Shaped both short-term wins and long-term roadmap, aligning AI initiatives with commercial impact.
  • Improved foundational data quality and insight delivery to support stakeholder decision-making.
  • Explored agentic AI solutions to enhance customer service.
Stakeholder EngagementGenerative AIData & AI strategyDigital transformationData quality improvement

Endeavour group

Data Scientist

Apr 2023Sep 2024 · 1 yr 5 mos · Sydney, New South Wales, Australia · Hybrid

  • 【 Business Background 】
  • Endeavour Group is Australia’s leading retail drinks and hospitality business, with over 2,000 stores and venues, including BWS, Dan Murphy’s, Langton's and ALH Hotels. The Data & AI team supports enterprise-wide decision-making through advanced analytics and machine learning, with a strong focus on pricing, promotions, inventory, and customer insights.
  • 【 Key Contribution 】
  • Delivered forecasting, pricing & promotion recommendation models, and GenAI initiatives, contributing to commercial uplift and enhanced user engagement across multiple business units.
  • Participated in AI RFP processes and provided technical insights to support business decision-making.
  • Advocated for and improved AI literacy through internal training, mentorship, knowledge sharing, and technical documentation tailored to business, product, and technical audiences.
  • Collaborated with UX designers, SMEs, and internal users to ensure delivery of user-centric AI solutions.
  • Contributed to internal social capital by helping organise social events; supported team rebranding efforts that received positive feedback from leadership.
  • Nominated to participate in the firm’s Leadership Development Program.
  • Panelist at GDG Sydney DevFest 2024 on Responsible AI and LLMs; shared perspectives on practical collaboration between Legal and Tech teams in designing GenAI guardrails.
  • 【 Impact 】
  • Contributed to commercially successful AI initiatives, and achieved significant user adoption.
  • Enabled scaling of GenAI adoption through cross-functional partnerships.
  • Strengthened AI capability by bridging technical and non-technical teams through tailored education and documentation.
  • Represented the organisation externally by speaking on Responsible AI and LLM governance at a leading tech community event.
Stakeholder EngagementGenerative AIPrice OptimizationDemand ForecastingData Science

Fotopie

Lead DevOps Engineer

Feb 2023Apr 2023 · 2 mos · Sydney, New South Wales, Australia · Remote

  • 【 Business Background 】
  • Go Husky is a startup offering a GenAI-powered web platform (FotoPie) that helps small and medium-sized Australian businesses create high-quality marketing images. The platform integrates AI-generated visuals with social networking features, enabling collaboration between photographers, marketers, and business owners. It supports both free and paid service tiers.
  • 【 Key Contribution 】
  • Served as Tech Lead, defining the technical roadmap and aligning with product and business teams.
  • Led end-to-end MVP development of a GenAI-powered marketing assistant.
  • Architected and automated infrastructure for scalable cloud deployment.
  • Designed CI/CD workflows and coordinated cross-functional delivery for successful pilot launch.
  • 【 Impact 】
  • Delivered a functioning MVP within a startup environment, enabling early user testing and exploration of investor interest and maturity in the GenAI space.
  • Accelerated development cycles through automated CI/CD and infrastructure-as-code practices.
  • Played a key role in shaping the product vision through technical feasibility input and rapid prototyping.
Generative AIComputer VisionDALL-EDevOpsCI/CD

Remi ai

2 roles

AI Researcher and Engineer

Aug 2019Jan 2023 · 3 yrs 5 mos

  • 【 Business Background 】
  • Remi AI is a leading research-driven startup delivering bespoke and SaaS AI solutions to retail and manufacturing clients across Australia and globally. Its core focus areas include demand forecasting, dynamic pricing, and inventory optimisation.
  • 【 Key Contribution 】
  • Delivered both PoCs and SaaS AI systems for multiple Fortune 500 clients.
  • Designed and developed demand forecasting, inventory planning, and dynamic pricing models tailored to retail and supply chain use cases.
  • Contributed to the firm’s MLOps initiatives by building and maintaining end-to-end cloud-native ML pipelines.
  • Facilitated stakeholder workshops and post-deployment reviews to support AI adoption and ensure business alignment.
  • Led internal knowledge-sharing sessions and wrote technical documentation to enable collaboration across time zones and functions.
  • Invited guest speaker at AWS Community Day Australia/New Zealand 2020, presenting insights from real-world AI deployments and showcased Amazon Forecast service.
  • 【 Impact 】
  • Delivered forecasting and optimisation solutions for enterprise retail clients, driving strong commercial outcomes across multiple review cycles — strengthening client relationships and supporting two successful funding rounds.
  • Strengthened Remi AI’s technical presence through public speaking, including as a guest speaker at AWS Community Day Australia/NZ 2020.
  • Contributed to R&D efforts that led to Remi AI being named a finalist in the 2022 Premier’s NSW Export Awards (Advanced Technologies).
Stakeholder EngagementMLOpsNatural Language Processing (NLP)Demand ForecastingPrice OptimizationData Science

AI Intern

Apr 2019Jul 2019 · 3 mos

  • 【 Key Contribution 】
  • Built tailored forecasting models and an optimisation tool for a national call centre’s vending machine operations.
  • Supported delivery of bespoke solutions for multiple Fortune 500 clients.
  • Applied AI/ML skills in a major hackathon outside of work, showcasing capabilities.
  • 【 Impact 】
  • Achieved significant cost reduction for an operational project; the solution was nominated as a finalist in the client’s 2019 Innovation of the Year awards.
  • Won Best AI/Data Science/ML Award at a major hackathon sponsored by Microsoft, AWS, and Meta.
  • Recognised by then-Programming General Manager at Microsoft, in her published blog on innovation and incubation.
Natural Language Processing (NLP)Data ScienceRetail

7k7k.com

Platform Intern | UX & AI

Jul 2012Jun 2013 · 11 mos · Beijing, China · On-site

  • 【 Business Background 】
  • 7k7k was one of China’s leading online game platforms during the 2012–2013 peak, serving millions of users daily with a vast catalogue of flash-based and web games.
  • 【 Key Contribution 】
  • Joined the Platform Team as a Intern, working alongside research data scientists to improve the performance of the in-house search algorithm and UI layout for game discovery.
  • Focused on enhancing user engagement and operational efficiency through data-informed experimentation.
  • 【 Impact 】
  • Search Engine Optimization: Collaborated with research data scientists to improve the in-platform search function indexing performance, resulting in more relevant game results based on user queries.
  • UX Experimentation: Contributed to redesigning the search results layout to improve user navigation and reduce bounce rates.
  • A/B Testing & Insights: Designed and executed A/B tests to evaluate layout and ranking changes, enabling data-driven product decisions with measurable engagement improvements.
Natural Language Processing (NLP)Information RetrievalUser Experience (UX)

Education

University of Melbourne

Master's degree — Master of Information Technology (Distributed Computing)

Jan 2014Jan 2016

Beijing Information Science and Technology University

Bachelor's degree — Bachelor of Network Engineering

Jan 2009Jan 2013

Wine & Spirit Education Trust

Level 2 — Award in wines

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