Meng-chieh L. - Lecturer & AI Project Coach

Frankfurt am Main, Taiwan, Province of China

Experience

Oct 2024 - Present

1 year 3 months

Taiwan, Province of China

Delivered a 16-hour applied module on AI/LLM applications, bridging theoretical concepts with real-world data science workflows.
Edited and structured course materials to align theoretical concepts with real-world applications.
Coached professionals 1:1 on end-to-end AI projects, improving their ability to leverage ML tools to enhance business efficiency.
Developed structured course materials emphasizing practical, deployable AI/ML solutions.

Jan 2022 - Aug 2025

3 years 8 months

Sulzbach, Germany

Led end-to-end development and production deployment of a product name cleaning, translation, and category prediction pipeline using LLMs (LangChain, RAG, ReAct Agents), reducing operational costs by 99% and increasing efficiency 200x.
Collaborated with stakeholders to perform prompt engineering, translating business requirements into precise, high-impact LLM workflows.
Developed and productionized trend insight extraction workflows with LLMs, delivering actionable insights to the executive board that influenced product strategy.
Built a warehouse sample search system based on Pantone color codes, accelerating product sample retrieval and improving operational efficiency.
Developed an 18-month lead-time sellout forecasting system using an ensemble of XGBoost, CatBoost, and LightGBM, achieving r² ≈ 0.8.
Partnered with data engineers and DevOps to deploy and monitor ML workflows in Kubernetes using MLflow, ensuring reliable production operations.

Oct 2019 - Dec 2021

2 years 3 months

Düsseldorf, Germany

Led the development and deployment of an English–German user review semantic classification system using a BERT-based model.
Led the development of an image-based product recommendation system leveraging Mask R-CNN for object detection and feature extraction.

Apr 2018 - Sep 2019

1 year 6 months

Darmstadt, Germany

Oct 2017 - Mar 2018

6 months

Darmstadt, Germany

Large Language Models: Langchain, Rag, React Agents, Openai Api (Multimodal, Whisper, Tts, Websearch), Ollama.
Machine Learning & Forecasting: Xgboost, Lightgbm, Catboost, Pytorch Forecasting (Tft, N-beats, N-hits).
Natural Language Processing: Embedding Models, Bert-based Models, Semantic Classification, Prompt Engineering.
Computer Vision: Yolo, Mask R-cnn, Image-based Recommendation, Image Captioning.
Ml Ops & Deployment: Mlflow, Kubernetes, Model Monitoring, Scalable Production Pipelines.
Data Science Foundation: Pandas, Numpy, Scikit-learn, Scipy.