Hock-Yin Lam Email & Phone Number

• Developed a modular architecture based on the functional core and imperative shell pattern for a RAG application, enabling seamless integration of new frameworks.• Optimized LLM fine-tuning workflows by creating an AWS SageMaker script for finetuning various large language models (LLMs) for short text generation using QLoRA.• Built scalable cloud solutions on AWS, including ETL pipelines using Glue, Step Functions, and Lambda, infrastructure provisioning with CloudFormation, and data exploration with Athena.• Managed and evaluated machine learning models using Databricks MLflow, incorporating advanced techniques such as utilizing LLMs for evaluation.• Ensured high code quality standards by implementing pre-commit hooks, linters, and comprehensive testing methodologies, including BDD, TDD, and integration tests.

München, Bayern, Deutschland

• Implemented personalized targeting by developing a training and inference pipeline using Metaflow and XGBoost, enhancing customer engagement.• Developed and integrated recommender systems using content-based and collaborative filtering techniques, seamlessly deploying them into the production codebase.Streamlined product performance by refactoring the existing codebase with an updated tech stack, including Metaflow and MLflow, improving maintainability and scalability.

München, Bayern, Deutschland

• Increased performance and reliability by optimizing SparkSQL queries for data processing• Reduced computational time and generated more reasonable clusters by experimenting with different dimensionality reduction techniques (e.g., UMAP, PCA, t-SNE) and clustering algorithms (e.g., K-Means, Gaussian Mixture) in R and Python• Implementation of new features and maintenance of a live end-to-end data product in an agile development approach with sprints and product backlogs

München, Bayern, Deutschland

• Developed data pipeline using Python for extracting, transforming, and loading large OpenStreetMap geospatial data into Microsoft SQL Server. The output served as input for machine learning models that predicted the potential for opening new locations.• Data preparation for various projects including data cleaning, data transformation and application of feature engineering to improve the performance of machine learning models• Data acquisition by developing Python scripts for web scraping using the Selenium framework and utilizing API requests

München, Bayern, Deutschland

München, Bayern

• End-to-end implementation of Celonis technology across various customers including the design of process and customer-specific dashboards, analyses, and reports• Data extraction and transformation of customer’s data via SQL• Collaboration with process owners and technical teams within each customer to understand their goals and objectives, and translate them into technical requirements

München Und Umgebung, Deutschland

Frankfurt Am Main Und Umgebung, Deutschland

• Support for the implementation of a new internal IT Tool and its integration into the ecosystem.

Frankfurt Am Main Und Umgebung, Deutschland

• Interdisciplinary modeling, analysis and optimization of material, logistics and warranty processes

Master Of Science - Ms, Management And Technology, 1.5

Master Of Science - Ms, 1.0

Exchange Semester via ERASMUS

Bachelor Of Science - Bs, Wirtschaftsinformatik, 1.9

Bachelor Of Science - Bs, Wirtschaftsingenieurwesen Richtung Maschinenbau, 2.2

Bachelorthesis at the Institute for Investment and Finance - "Performance Measurement of Fonds and Certificates with focus on the water.