LUKE SHIMANUKI luke@shimanuki.cc | https://luke.shimanuki.cc ==================================================================================================== EXPERIENCE ---------------------------------------------------------------------------------------------------- Aurora Innovation | Staff ML Eng (prom. from Sr. Eng), Behavior ML 2022–present - Led 7‑engineer team to deliver forecasting models enabling 250k+ incident‑free miles of driverless operations. - Served as primary technical point of contact for interaction behavior in cross‑org launches, demos, and incident reviews; diagnosed on‑road failures, led design and delivery of fixes, and communicated timeline and scope trade‑offs with senior leadership and external‑facing launch/demo teams. - Mentored & sponsored 4 ML engineers, creating opportunities for them to own increasing technical complexity and cross-team/leadership scope by providing design/communication guidance and acting as a safety net to encourage risk-taking; successfully advocated for 1 promotion to senior. Magna Electronics / Optimus Ride | Senior SDE (prom. from SDE II), Motion Planning 2020–2022 - Led 3 engineers across 2 teams to expand prediction-planning interface and algorithms to produce probability-aware forecasts and plans, enabling safe autonomous navigation through contested intersections. - Formulated technical requirements & algorithmic specifications for 2 ADAS features following ISO 26262 functional safety standards, resulting in a patent filing. Cruise Automation | Intern, Prediction Summer 2018 - Made forecasts dynamically feasible & intersection-aware, tripling passing tests & reducing disengagements. Optimus Ride (Self-driving) | SWE Intern, Perception Summer 2017 - Designed & implemented end-to-end perception-prediction pipeline from object detection through tracking & forecasting, establishing architecture that interfaces between the raw sensor data and the motion planner. RightHand Robotics (Grasping) | Intern, Machine Learning / Vision January 2017 - Designed & trained grasping model from RGB-D input, improving pick success rate from cluttered boxes. Tanius Technology (Prop Trading) | Developer, ML Modeling 2015–2016 - Built end-to-end ML system for algorithmic trading: data ingestion, model training, & backtesting infrastructure. EDUCATION & RESEARCH PUBLICATIONS ---------------------------------------------------------------------------------------------------- Massachusetts Institute of Technology | CSAIL Learning & Intelligent Systems 2016–2020 M.Eng Electrical Engineering & Computer Science (AI Concentration), GPA 5.0 (out of 5.0) S.B. Computer Science + Brain & Cognitive Science, GPA 4.9 (out of 5.0), 5.0 within CS major B. Axelrod*, L. Shimanuki*, "Efficient Motion Planning under Obstacle Uncertainty with Local Dependencies", WAFR 2022 L. Shimanuki*, B. Axelrod*, "Hardness of Motion Planning with Obstacle Uncertainty in 2 Dimensions", IJRR 2021 B. Kim*, L. Shimanuki*, et al., "Representation, learning, and planning algorithms for geometric task and motion planning", IJRR 2021 B. Kim*, L. Shimanuki*, "Learning value functions with relational state representations for guiding task-and-motion planning", CoRL 2019 L. Shimanuki*, B. Axelrod*, "Hardness of Motion Planning with Obstacle Uncertainty in 3 Dimensions", WAFR 2018 * indicates equal contribution SKILLS ---------------------------------------------------------------------------------------------------- Languages: C, C++, Python ML/AI: PyTorch / TRT, TensorFlow, ROS Tools: Git, Docker, Linux ==================================================================================================== ACTIVITIES ---------------------------------------------------------------------------------------------------- Site Manager | Food for Free COVID-19 Relief Program | 2020 Directed team of 12 volunteers for packing & delivering groceries to ~300 households weekly. Program Director, Head Webmaster | MIT Educational Studies Program | 2017–2020 Directed educational programs reaching ~3000 MS/HS students, with ~1000 classes taught by ~500 teachers, & run by ~100 volunteers. Mentored 5 future program directors. Maintained website used by ~5000 students. Software Lead | AVBotz | 2012–2016 Led the software team (~12 members) for fully-autonomous submarine for manipulating objects, aiming & shooting torpedoes, & navigating around obstacles. International finalist (7th Place) as a HS team at collegiate RoboSub 2015. AWARDS ---------------------------------------------------------------------------------------------------- USACO Platinum | Intel STS 2016 Semifinalist | Eagle Scout | MIT Battlecode 2018 Finalist PROJECTS ---------------------------------------------------------------------------------------------------- C++: Low latency audio streaming to enable remote musicians to play in-sync with under 30ms latency Python: Musical autocomplete to assist chord & melody composition Python: Open-source window manager extension enabling grid layout C: Web browser using Chromium's rendering engine with configurable vi-like key bindings Java: Neural network AI for a multiplayer platformer fighting game n/a: Inflatable Sailboat: DIY spritsail rigged to an inflatable raft