Laurence Liang
Work
  • Feb2025 - current
    Rootly (YC S21)
    Member of Technical Staff, Rootly AI Lab
    • Developing benchmarks for language models to detect and patch server-side errors for DevOps
  • Sep2024 - current
    DECAR Lab, McGill University
    Student Researcher, Drone Swarm Localization
    • Increased classification accuracy by 13% for multi-class occlusion detection on UWB radio wave flight data
    • Compressed flight data by 2 orders of magnitude while increasing classification accuracy with Sklearn & PyTorch
    • Redesigned drone parts with 2x higher resistance to stress loads under FEA simulations in Solidworks
  • May2024 - Aug2024
    MDA Space
    Intern - AI & Robotics
    • Increased image similarity inference time by 10x for the Canadarm 2 meteorite strike detection on the International Space Station
    • Led the development of an optimization pipeline for the Canadarm 3 control simulations, achieveing centimetre-level convergence for control system tuning for the Lunar Gateway Space Station
    • Integrated C++ code for autonomous lunar rover testing & worked on field test experiments
  • Jun2022 - Aug2022
    Autonomous Control Sytems Laboratory Ltd
    Intern
    • Created LSTM neural network models to predict motor vibration in heavy-lift, industrial drones in Tokyo, Japan
    • Implemented OpenCV’s feature tracking algorithms to sort 1GB+ of drone video frames
  • Jul2021 - Nov2023
    Perceive Now
    Data Scientist
    • Led the development of v1 of the full-stack core API, enabling the company to raise 6-figures at an $8M valuation
    • Sped up 8x processing speeds to analyze information for 3,600 authors per hour from ORCID and the USPTO
    • Led product for ‘Customer Intelligence’ by building an ETL pipeline with search and sentiment analysis
  • Jun2019 - Sep2019
    Soulzone
    Backend Developer
    • Configured the first iteration of the Apache Solr search engine instance for the Postgres database
    • Created REST API endpoints in Elixir on the core API and validated with unit tests
  • Jun2018 - Aug2018
    Expedia
    Software Developer
    • Implemented natural language processing tools such as GloVe to assess webpage similarity
    • Created a feature to diversify Expedia’s webpage content to boost SEO rankings
    • Developed a web app using Python and Semantic UI to visualize NLP results