CV
Huang Lin
Machine Learning Engineer
Summary
Machine Learning Engineer with experience building end-to-end ML systems, data pipelines, deep learning models, and LLM-based evaluation workflows. U.S. Permanent Resident, no sponsorship required.
Education
-
Ph.D. in Engineering04/2026University of ReginaCourses: Research: Machine learning algorithms for signal-based indoor localization, Saskatchewan Innovation and Excellence Graduate Scholarship (2022, 2025)
-
B.Sc. in Electrical Engineering06/2017South China Agricultural UniversityCourses: Second Prize Scholarship
Work Experience
-
Machine Learning Engineer (Contract)11/2025 - 05/2026Mercor
- Designed and implemented scalable Python-based pipelines for LLM-driven task execution, improving reproducibility and system efficiency across automated workflows.
- Built evaluation frameworks for agent-based ML systems, enabling systematic performance benchmarking and failure analysis across diverse tasks.
- Identified and resolved failure modes in LLM-generated workflows, improving task success rates and overall system reliability.
- Collaborated cross-functionally to refine task design and improve robustness of ML pipelines in production-like environments.
-
Machine Learning Engineer Intern03/2021 - 04/2023Ericsson
- Designed and implemented a scalable similarity-based filtering and matching pipeline for high-dimensional signal data, improving accuracy by 55% while reducing candidate search space and computational cost.
- Built data preprocessing and feature engineering pipelines for large-scale WiFi datasets using Python, NumPy, and Pandas.
- Developed and benchmarked machine learning and deep learning models using PyTorch and TensorFlow.
- Optimized model robustness by analyzing noise patterns and missing data.
- Built evaluation and visualization tools for model analysis, performance tracking, and technical reporting.
-
Sales Operations Analyst07/2017 - 01/2021China Telecom
- Designed SQL-based dashboards to monitor KPIs and identify sales trends.
- Maintained customer data accuracy and generated reports for strategic decisions.
- Collaborated with regional teams to enhance operational efficiency.
Skills
Programming
- Python
- SQL
- MATLAB
ML Frameworks
- PyTorch
- TensorFlow
- scikit-learn
Core Skills
- Machine Learning
- Deep Learning
- Data Pipelines
- Feature Engineering
- Model Training and Evaluation
- Optimization
- Time-Series Modeling
- Signal Processing
- LLM-based Workflows
Publications
-
An enhanced group matching method with transformed fingerprints, similarity filtering, and adaptive selection for indoor localization2026
-
A dual-mode framework for indoor localization via temporal learning and knowledge distillation2026
-
Group matching method for search-space reduction, development, proof, and comparison2025
-
Two-stage clustering for improved indoor positioning accuracy2023Automation in ConstructionLin, H., Purmehdi, H., Fei, X., Zhao, Y., Isac, A., Louafi, H., & Peng, W.