I help enterprises unlock business value from AI by building production systems that actually work—consistently, securely, and at scale. My focus is translating complex technical capabilities into solutions that reduce costs, accelerate operations, and create competitive advantages, whether through intelligent automation, predictive analytics, or generative AI applications that augment human expertise in high-stakes domains.

Wendell

PRO

I help enterprises unlock business value from AI by building production systems that actually work—consistently, securely, and at scale. My focus is translating complex technical capabilities into solutions that reduce costs, accelerate operations, and create competitive advantages, whether through intelligent automation, predictive analytics, or generative AI applications that augment human expertise in high-stakes domains.

Available to hire

I help enterprises unlock business value from AI by building production systems that actually work—consistently, securely, and at scale. My focus is translating complex technical capabilities into solutions that reduce costs, accelerate operations, and create competitive advantages, whether through intelligent automation, predictive analytics, or generative AI applications that augment human expertise in high-stakes domains.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Chinese
Intermediate

Work Experience

Senior AI Engineer at Capgemini
January 1, 2023 - Present
Leading end-to-end delivery of enterprise AI solutions across financial services, manufacturing, healthcare, and legal sectors throughout APAC. I architect production ML systems solving complex business problems, from generative AI document intelligence platforms processing 50K+ legal documents monthly to MLOps infrastructure enabling $5M+ in new project opportunities. My work spans the full AI lifecycle: collaborating with C-suite stakeholders to identify high-impact use cases, designing scalable architectures balancing innovation with pragmatic risk management, and driving adoption through technical enablement and change management. Currently specializing in generative AI applications while mentoring engineers on LLM development and contributing to Capgemini's broader AI practice through technical whitepapers and knowledge sharing
AI Engineer at Capgemini
November 25, 2022 - Present
Software Engineer at Accenture Philippines
July 1, 2020 - December 1, 2021
Advanced to full ownership of ML feature development and production deployments for banking and e-commerce clients. Led technical implementation of recommendation systems increasing conversion rates 18% and predictive analytics reducing customer churn 22%. Collaborated cross-functionally with product managers, data engineers, and business analysts to scope projects, design solutions, and deliver end-to-end from data pipelines through model deployment and monitoring. Began taking on client-facing responsibilities including technical presentations to stakeholders and conducting requirement-gathering workshops. This role solidified my transition from traditional software development to specialized ML engineering, establishing foundations in production ML best practices, model evaluation methodologies, and translating business metrics into technical objectives.
Junior Software Engineer at Accenture Philippines
January 1, 2019 - June 1, 2020
Started my professional journey building full-stack applications and data pipelines while transitioning into machine learning roles. Contributed to backend services using Python/Java and developed data processing pipelines supporting analytics and reporting for financial services clients. Actively pursued ML learning through internal training programs, hackathons, and side projects, which led to opportunities working on ML-adjacent features like A/B testing frameworks and feature engineering pipelines. Gained essential software engineering foundations - version control, testing, code review, agile development that became critical for later production ML work. This period established my understanding that effective AI engineering requires strong software engineering discipline combined with ML expertise.

Education

Bachelor of Science at University of Melbourne
May 1, 2014 - December 1, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Software & Internet