San Francisco Bay Area
Machine Learning Engineer
& Researcher
My work spans machine learning research, LLM evaluation, software tools, and data analysis.
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Select a skill to see where I've used it.
Developed and evaluated models for indoor localization, with a focus on representation learning and knowledge distillation.
PhD research · University of Regina
Studied similarity-based matching and search-space reduction for WiFi fingerprints, alongside temporal modeling with LSTM–MLP knowledge distillation.
Compared methods to understand their localization accuracy and computational efficiency.
Built evaluation workflows and analyzed failures in LLM-driven tasks.
Mercor · ML Engineer (Contract)
Worked on Python-based task execution and reproducible evaluation, including instruction following and agent workflow analysis.
Built a Chrome extension to organize job applications, notes, and application status.
Job Application Tracker
Implemented page metadata extraction, job platform detection, and a tracking dashboard to keep application information in one place.
Worked with sales data for reporting and wireless signal data for model development.
China Telecom / Ericsson
At China Telecom, used SQL to track sales performance and maintain data quality for reporting.
At Ericsson, built preprocessing and feature engineering workflows for WiFi datasets during my ML engineering internship.