Huang LinMachine Learning Engineer & Researcher
01 / Guangzhou · The foundations
B.Sc. in Electrical Engineering · South China Agricultural University · 2017
Foundations in MATLAB, mathematics, statistics, and probability developed during my undergraduate studies.
South China Agricultural University. Awarded a Second Prize Scholarship.
Professional experience · China Telecom
Sales Operations Analyst · July 2017 – January 2021
Built SQL dashboards for KPIs and sales trends, maintained data quality, and turned operational questions into repeatable reporting workflows.
Current skills · Across my experience
Software tools, data analysis, model development, and research methods.
Applied machine learning, AI applications, algorithm design, structured deep learning, AI systems evaluation, and representation learning.
02 / Regina · Doctoral research
Ph.D. in Engineering · University of Regina
January 2021 – May 2026
Research in machine learning for signal-based indoor localization.
Research problem: estimate indoor position from high-dimensional WiFi fingerprints while controlling matching cost and sensitivity to signal variation.
Methods: similarity-based candidate selection, signal representation learning, structured attention, and knowledge distillation. The papers and repositories below document the methods and experiments.
Saskatchewan Innovation and Excellence Graduate Scholarship, 2022 and 2025.
Montreal · Ericsson
Machine Learning Engineer Intern · Ericsson
March 2021 – April 2023
This Montreal-based role overlapped with my doctoral studies at the University of Regina.
Engineering focus: preprocessing, feature engineering, and similarity-based matching for high-dimensional WiFi data, followed by model training and benchmarking.
Professional experience · Mercor
Machine Learning Engineer (Contract) · Mercor
November 2025 – May 2026
Shown with recent work; the Bay Area chapter indicates my current location, not the location of this contract.
Engineering focus: Python pipelines for LLM-driven task execution and reproducibility, evaluation frameworks for agent systems, benchmarking, and analysis of workflow failures.
03 / Bay Area · Based here now
I’m Huang, a Machine Learning Engineer & Researcher currently based in the Bay Area.
I’m interested in Software Engineer, Data Scientist, Research Scientist, and Machine Learning Engineer roles that connect software and data workflows with modeling, experimentation, or evaluation.
Ericsson · Montreal · March 2021 – April 2023
Prepared high-dimensional WiFi datasets with Python, NumPy, and Pandas. Built preprocessing and feature engineering workflows for model training and benchmarking.
University of Regina · PhD research · January 2021 – May 2026
Group-based matching reduces the candidate search space for RSS fingerprint localization. The research examines localization accuracy alongside computational efficiency.
University of Regina · PhD research
Fingerprint transformation, similarity filtering, and adaptive reference selection address the structure of high-dimensional signal data. Structured attention is another research direction documented in the project overview.
University of Regina · PhD research
The dual-mode LSTM–MLP framework connects temporal signal modeling with lightweight localization inference through knowledge distillation.
Ericsson & University of Regina · Overlapping industry and doctoral work
Developed and compared ML and deep learning models, with evaluation and visualization tools for performance analysis. Investigated signal noise and missing data to understand model robustness.
Personal project · JavaScript Chrome extension
Built an application tracker with page metadata extraction, platform detection, notes, and a tracking dashboard. This project demonstrates browser tooling and workflow organization.
