I’m a Singaporean Swiss AI/ML Engineer and Data Scientist with 6 years of experience delivering end-to-end AI solutions across automotive, semiconductor, and med-tech. I enjoy translating messy real-world needs into working models and products—starting from prototypes, moving through production delivery, and partnering closely with business stakeholders to make sure the outcome truly fits operational reality. In my recent roles, I’ve built and scaled cloud-based agentic and RAG systems on AWS, implemented reliable retraining pipelines, and rescued stalled production ML efforts by bridging communication between developers and business owners. I also bring strong engineering fundamentals (Python, MLOps, REST APIs, CI/CD, Docker) and data visualization skills, which help me communicate impact clearly and build trust in AI adoption across global teams.…

Ruhui Tay

I’m a Singaporean Swiss AI/ML Engineer and Data Scientist with 6 years of experience delivering end-to-end AI solutions across automotive, semiconductor, and med-tech. I enjoy translating messy real-world needs into working models and products—starting from prototypes, moving through production delivery, and partnering closely with business stakeholders to make sure the outcome truly fits operational reality. In my recent roles, I’ve built and scaled cloud-based agentic and RAG systems on AWS, implemented reliable retraining pipelines, and rescued stalled production ML efforts by bridging communication between developers and business owners. I also bring strong engineering fundamentals (Python, MLOps, REST APIs, CI/CD, Docker) and data visualization skills, which help me communicate impact clearly and build trust in AI adoption across global teams.…

Available to hire

I’m a Singaporean Swiss AI/ML Engineer and Data Scientist with 6 years of experience delivering end-to-end AI solutions across automotive, semiconductor, and med-tech. I enjoy translating messy real-world needs into working models and products—starting from prototypes, moving through production delivery, and partnering closely with business stakeholders to make sure the outcome truly fits operational reality.

In my recent roles, I’ve built and scaled cloud-based agentic and RAG systems on AWS, implemented reliable retraining pipelines, and rescued stalled production ML efforts by bridging communication between developers and business owners. I also bring strong engineering fundamentals (Python, MLOps, REST APIs, CI/CD, Docker) and data visualization skills, which help me communicate impact clearly and build trust in AI adoption across global teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Beginner
Beginner
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Language

English
Fluent
Chinese
Fluent
German
Advanced

Work Experience

Data Scientist/Product Owner at MAN Truck & Bus SE
January 1, 2026 - Present
Built and architected an agentic LLM chatbot on AWS with CI/CD to guide assembly workers through complex procurement workflows for industrial screw-driving tools. Diagnosed and fixed a stalled ML project in production for truck parts logistics by bridging the communication gap between business and developers; drove AI adoption, saved ~1 FTE, and won an industry award. Converted a truck manufacturing lead-time ML model into an automated retraining pipeline on AWS (SageMaker Pipelines, MLflow, scikit-learn) to keep models current. Used AI-assisted coding to deliver use cases. Delivered end-to-end personal multi-cloud handwritten digit recognition app (PyTorch, Docker, Triton, ONNX) and mentored a junior engineer on frontend architecture and authentication.
Data Scientist/Product Owner (Global Trainee in Advanced Data Analytics and AI) at MAN Truck & Bus SE
September 1, 2024 - December 31, 2025
Supported the company-wide AI strategy by advising finance leadership on building a new AI team structure and early priorities. Worked on-site across EU locations in cross-functional contexts (AI, data, sales, finance, legal, and battery production). Bootstrapped and deployed a production web-scraping solution in three weeks to generate charging-price intelligence for eTruck developers, replacing ~€300K consultancy costs. Contributed to an AWS-based RAG chatbot for IFRS and Volkswagen Group accounting guidance, and built real-time Grafana dashboards to improve operational visibility for battery production.
Global Trainee in Advanced Data Analytics and AI at MAN Truck & Bus SE
September 1, 2024 - December 31, 2025
Advised finance leadership on establishing a new AI team structure and initial priorities supporting the company-wide AI strategy. Worked across multiple EU locations covering AI, data, sales, finance, legal, and battery production. Bootstrapped and deployed a production web-scraping solution for competitive eTruck charging-price intelligence, replacing €300K external consultancy costs. Supported an AWS-based RAG chatbot deployed in production for IFRS guidance aligned with Volkswagen Group accounting standards. Built real-time Grafana dashboards backed by Elasticsearch/Lucene queries for operational visibility, and organized a worldwide streamed hybrid panel discussion with 150+ attendees.
Data Analyst – Wafer Quality Assurance at SiCrystal GmbH
June 1, 2023 - August 31, 2024
Built and shipped a Python application in production to retrieve and filter thousands of wafer inspection images during a quality incident, enabling faster root-cause investigation and resolution of customer complaints. Developed an OpenCV/numpy image processing pipeline to enhance defect visibility and flag at-risk wafers, reducing reliance on multiple daily destructive measurements. Maintained and improved legacy Python ML applications supporting wafer R&D and quality teams (debugging, monitoring, upgrades). Implemented SQL-based ETL pipelines and a 3D visualization outputs pipeline for machine-collected data to support R&D and quality stakeholders.
Masters Thesis - Data Science Team at Max Planck Institute for the Science of Light
January 1, 2022 - December 31, 2022
Built a classification model using Python to classify blood cells and separate COVID and non-COVID patients using scikit-learn, pandas, and numpy.
Data Science, Working Student – Finance at Siemens Healthineers
January 1, 2021 - December 31, 2022
Automated cash flow reports by building a dashboard using Power BI, PowerApps, and Python to reduce manual effort that previously took about 4 hours. Built a proof-of-concept time series forecasting model using Python (ARIMA, XGBoost, scikit-learn) for cash flow prediction.

Education

MSc Integrated Life Science - Computational Biology at Friedrich-Alexander-Universität Erlangen
January 1, 2022 - December 31, 2022
BSc Honours Chemistry - Computational Chemistry at National University of Singapore
January 1, 2020 - December 31, 2020
Undergraduate Research Opportunity - Biophysics at Imperial College London
January 1, 2018 - December 31, 2018
MSc. Integrated Life Science - Computational Biology at Friedrich-Alexander-Universität Erlangen
January 1, 2022 - December 31, 2022
BSc. Honours Chemistry - Computational Chemistry at National University of Singapore
January 1, 2020 - December 31, 2020
Undergraduate Research Opportunity - Biophysics at Imperial College London
January 1, 2018 - December 31, 2018
MSc. Integrated Life Science - Computational Biology at Friedrich-Alexander-Universität Erlangen
January 1, 2022 - December 31, 2022
BSc. Honours Chemistry - Computational Chemistry at National University of Singapore
January 1, 2020 - December 31, 2020
Undergraduate Research Opportunity - Biophysics at Imperial College London
January 1, 2018 - December 31, 2018

Qualifications

DAAD Stipendium – Sommersprachkurs in Deutschland (B2.2)
January 11, 2030 - September 25, 2026
DAAD Stipendium – Sommersprachkurs in Deutschland (B2.2)
January 11, 2030 - September 25, 2026
Automotive Lean Production Award 2026 (Digital Use Case Segment - Automobil Produktion)
January 1, 2026 - January 1, 2026
DAAD Stipendium – Sommersprachkurs in Deutschland für internationale Studierende und Graduierte (B2.2)
January 1, 2020 - September 25, 2026
Automotive Lean Production Award 2026 , Digital Use Case Segment - Automobil Produktion
January 1, 2026 - September 25, 2026
Automotive Lean Production Award (Digital Use Case Segment - Automobil Produktion)
January 1, 2026 - September 25, 2026
DAAD Stipendium – Sommersprachkurs in Deutschland für internationale Studierende und Graduierte (B2.2)
January 11, 2030 - September 25, 2026

Industry Experience

Manufacturing, Transportation & Logistics, Computers & Electronics, Financial Services, Life Sciences, Healthcare, Professional Services, Other