Alexander Lam
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolAlexander Lam is a data science leader with nine years of experience translating econometrics, statistics, and machine learning into production analytics and data products. He has deep expertise in SAS and R ecosystems—spanning SAS Viya/CAS, ESP, QKB and parallel SAS programming—and a proven track record delivering real-time IoT streaming solutions, entity resolution, and interpretable forecasting models. Comfortable bridging technical and non-technical stakeholders, he has built reusable SAS macros, interactive R Shiny apps, and D3 visualizations to turn complex analyses into actionable insights. His open-source contributions to OpenCompass expanded LLM evaluation capabilities (including compression evaluation), reflecting an interest in LLMs and agentic workflows alongside traditional time-series and causal methods. Based in Shanghai, he combines rigorous academic training from Carnegie Mellon with hands-on consulting experience across healthcare, energy, and enterprise analytics.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Economics and Mathematics, Bachelor of Science (BS), Economics and Mathematics at Santa Clara UniversityMaster's of Statistical Practice, Statistics, Master's of Statistical Practice, Statistics at Carnegie Mellon University
Chinese, Chinese
Github Skills (6)
python10
llm9
evaluation9
benchmark9
benchmarking9
pytorch8
Programming languages (6)
Github contributions (5)
open-compass/opencompass
Feb 2024 - Jul 2025
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 reviews, 13 PRs, 3 pushes in 1 year 4 months
Contributions summary:Alexander focused on enhancing the LLM evaluation platform by adding support for LLM Compression Evaluation. Their work involved modifying core components related to loss calculation and dataset handling, specifically targeting the `SWCELossInferencer` class. They also addressed code formatting issues and corrected typos within comments and evaluation configurations, demonstrating a commitment to code quality and clarity. The user's contributions centered on improving the platform's capabilities for model evaluation.
claudellmmistralevaluationbenchmark
acylam/opencompass
Mar 2024 - Apr 2025
OpenCompass is an LLM evaluation platform, supporting a wide range of models (InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Contributions:44 pushes, 14 branches in 1 year 1 month
claudellm
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