Open to opportunities

Kao Weiting

@kaoweiting

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AI consultant delivering measurable ROI through production-grade ML, GenAI, and data-driven business strategy.

France

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What I'm looking for

I seek roles where I can lead AI implementation end-to-end, partner with stakeholders, deliver measurable ROI, and build production-grade, scalable ML/GenAI solutions.

I am a strategic, results-driven AI consultant with 10 years of experience translating data science into measurable business impact, including revenue growth, large annual savings, and improved operational efficiency. I partner with stakeholders to scope, plan, and deploy production-grade ML and GenAI solutions, design future-state processes, and quantify ROI.

My career highlights include architecting production GenAI applications, leading cross-functional data science collaborations across Europe, and delivering predictive models and automation that generated multi-million euro savings and increased conversion, retention, and CSAT. I focus on pragmatic AI implementation, stakeholder alignment, and building scalable data pipelines and user-centric products.

Experience

Work history, roles, and key accomplishments

Current

Founder & Lead AI Consultant

Current

Eurosia GenAI Consulting

Jun 2025 - Present (1 year)

Partnered with founders and business leaders to design and implement AI strategies and built a production-grade GenAI application (Mai Echo) from concept to launch, delivering scalable RAG pipelines and user-centric design.

GenAI RAG Data Pipeline Development LLMs Product Design NLP MLOps User Centered Design LLM

Lead Data Science Consultant

Telenet

Oct 2023 - Jun 2025 (1 year 8 months)

Architected predictive AI models for customer segmentation that increased conversions by 10% and retention by 12%, led engineering of scalable data pipelines improving model accuracy by 30% and contributing €5M revenue in six months.

Customer Segmentation Data Engineering Time Series Python SQL

Machine Learning Engineer

Procter & Gamble

Jul 2021 - Sep 2023 (2 years 2 months)

Led cross-country peer reviews and engineered cross-selling ML solutions that increased revenue by 21% and reduced churn 12%, launched ML/IoT sustainability initiatives that cut emissions 20% and realized €50M/year savings.

Machine Learning Cross Selling IoT Pyspark TensorFlow MLOps Stakeholder Management

Machine Learning Engineer

Procter & Gamble

Jul 2019 - Jul 2021 (2 years)

Developed predictive supply-chain algorithms delivering €150M+ annual savings across five EU markets, built fraud-detection models reducing detection time 70% (preventing €75M losses) and improved forecasting to enable €61M annual savings.

Supply Chain Analytics Fraud Detection Python SQL AWS Causal Inference

Vice President of Operations

MoBagel

Apr 2015 - Sep 2018 (3 years 5 months)

Directed AI/ML projects in predictive modeling, data automation, and demand forecasting, driving a key client’s annual revenue +15% via precision ML marketing models and shipping international go-to-market pilots.

Data Automation Go To Market Team Leadership Python SQL Client Delivery

Education

Degrees, certifications, and relevant coursework

ESCP Business School

Master of Science, Big Data & Business Analytics

2018 - 2020

Activities and societies: L’Oréal Data Challenge (3rd place, 2019); thesis on User-Generated Content Analytics (Sentiment Analysis) for Product Design.

MSc in Big Data & Business Analytics focusing on machine learning, NLP, and analytics for product design; awarded 3rd place in the L’Oréal Data Challenge (Paris, 2019).