Kevin Oh

Director, AI and Data Engineering | Multi-agent systems | Digital twin | Machine learning

Singapore

About

Business-facing technical leader in AI and data science, with over 2 decades of leading teams to deliver impactful data-driven solutions. Currently driving the design and implementation of large-scale AI-native enterprise systems to companies. Previously leading AI Singapore's flagship industry innovation unit, building AI solutions for companies across verticals. Internationally-focused with years of experience in APAC and Greater China functions. Publisher at top conferences and journals. Top-voted speaker, panelist and industry trainer. GenAI, Agentic AI, Machine Learning, Computer Vision, CRM and Personalisation, Sales Response Forecasting, Digital Analytics, Product and Pricing Optimisation.

Experience

  • Director, AI and Data Engineering at NCS Group
    Jan 2026 - Present · 6 mos

    Driving design and implementation of large-scale AI-native enterprise systems for companies. Multi-agent systems, digital twin, machine learning, demand forecasting, resource optimisation.

  • Head of AI (100E), AI Industry Innovation at AI Singapore
    Sep 2019 - Sep 2025 · 6 yrs 1 mo

    100 Experiments (100E) is AI Singapore's flagship product. We help companies solve real-world business problems by building custom AI solutions for deployment into production. I lead the largest and most diverse team of AI engineers and consultants in AI Singapore. Over the years, I grew the 100E team into twice the size, and built a stable, high-performing unit. I oversee both the presales and engineering functions, which gives me end-to-end oversight of solution scoping, architecting and delivery. My team and I have delivered more than 50 impactful solutions to businesses, while winning business awards and publishing in top-tier journals and conferences like IEEE and Nature. Our applications cover all AI domains across vision, language, speech and structured data, in generative AI and traditional ML. - Paper we co-authored with Singapore General Hospital on the use of deep learning for classifying breast tumors, published in Nature's Laboratory Investigation journal: https://www.nature.com/articles/s41374-021-00689-0 - Collaboration with Sompo Holdings Asia, which won the Singapore Business Review’s AI Award: https://sbr.com.sg/co-written-partner/more-news/sompo-holdings-asia-wins-ai-award-general-insurance Find out more about AI Singapore here: https://aisingapore.org/industryinnovation/100e/

  • Vice President, Link Analytics Center at NTUC Enterprise Co-operative Limited
    Aug 2018 - Aug 2019 · 1 yr 1 mo

    Headed a team of data scientists and analysts responsible for NTUC Link's CRM and mobile app ecommerce platform. • Data Strategy: - Strengthened data engineering collaboration. Put in place new process workflow leading to improved efficiency in building data products. • CRM: - Redesigned CRM data program to support Single Customer View initiatives. - Developed new CLTV and purchase latency prediction models, leading to revamp of Link's customer onboarding strategy. - Deployed next best merchant recommender and churn prediction models (A/B tests: 13x uplift). • Digital: - Built mobile app ecommerce analytics from scratch using Tealium event stream. - Designed personalized app offers recommender. • Campaign Platform: - Deployed propensity scoring model for campaign lead generation and micro-segmentation. Speaker: Applying Artificial Intelligence and Deep Learning for Enterprises Conference (2019) Data and Analytics Leaders Summit (2019)

  • Committee Member (Industry Appointment) at IAB Southeast Asia and India
    Apr 2018 - Apr 2019 · 1 yr 1 mo

    Committee of digital analytics leaders providing training and thought leadership to the digital marketing industry. - Rated most valuable talk: Artificial Intelligence Demystified (2018) - Voted 2nd out of 17 speakers: Data for Measuring Success (2018)

  • Director, Business Science (APAC) at MediaCom
    Oct 2012 - Jul 2018 · 5 yrs 10 mos

    Strategy + hands-on data science for digital advertising and marketing models: • Leader for data science – market mix modeling, digital multitouch attribution modeling, ROI optimization. • Optimized >US$800m of media campaigns annually for leading advertisers (>100 brands across 14 APAC markets). • Wrote ML algorithms to predict ecommerce conversions and recommend optimal ad placements. • Integrated clients' data assets and built time series models to forecast sales uplift. • Set up ETL processes on AWS for terabyte-scale digital adserver event logs. Algorithms: time series forecasting, regularized logistic regression, Bayesian models, Markov Chain Monte Carlo simulation. Won accolades from world's largest advertiser for creating MediaCom’s digital multitouch attribution product (P&G's global analytics chief: “best work among our suppliers globally”). Appointed to MediaCom worldwide digital leadership team. Appointed to IAB Analytics committee. Speaker: Developing the Data Science Talent Pool (2016)