Lise Savard


2016 - 2020, B.A.Sc Computer Engineering, University of British Columbia (94% GPA)

  • 2017 and 2018 Trek Excellence Scholarship (top 5%)
  • 2017 Engineering Physics Anniversary Scholarship (1 out of 240 candidates)
  • Undergraduate Teaching Assistant for CS320: Intermediate Algorithms
  • Upper level coursework highlights: Operating Systems (97%), Computer Architecture (100%), Intermediate Algorithms (98%), Computer Networking (97%), Directed Research (98%), Distributed Systems (CIP), Machine Learning (CIP)


Fall 2019, Software Engineer Intern, Facebook

  • TBD – ask me next year!

Summer 2019, Software Engineer Intern, Stripe

  • TBD – ask me in September!

Summer 2018, Software Development Engineer Co-op, A Thinking Ape Entertainment

  • Client-side optimization and end-to-end feature development for multiplayer mobile game using Python and C#
  • Reduced total memory usage by ~10% (20 MB) and initial asset load time by ~25% (15 seconds)
  • Along with two engineers and one game designer, created a new realm-wide competition system

Spring 2017, Software Developer Co-op, Copperleaf Technologies

  • Full stack development using using C# and AngularJS for asset analytics software
  • Implemented single sign-on system to interoperate with Ping, Okta, Active Directory, and other identity providers
  • Consistently resolved tickets and delivered features ahead of schedule

Summer 2016, Undergraduate Research Assistant, UBC Nanostructures Lab

  • Wrote a Python GUI program to control and automate a laser during experiments on carbon nanotubes
  • Program has been in daily use since 2016 and has saved over 100 grad-student-hours


  • Kerbodyne Analytic Orbit System (KAOS): a mission planning system for imaging satellites using Python, Flask, and PostgreSQL, using a novel analytic algorithm to calculate satellite visibility 75% faster than current industry standard brute force algorithms

  • Optimal Node Placement for TensorFlow Inference: part-time research project with UBC Distributed Systems lab to improve inference throughput by splitting trained TensorFlow models across multiple devices (sadly, we did not succeed in besting Google’s solution)

  • The Magic School Bot!: a multi-tasking, beacon-sensing, line-following, zipline-riding secret agent robot built in five wild, wild weeks. Won 3rd place at the annual EngPhys Robot Contest

  • Sunrise Lamp: a smart Arduino-powered lighting system to make waking up at 5AM in a Canadian winter slightly more tolerable