Arek Sredzki

• Led the Destination & Special Behaviors team within Autopilot (5 direct reports) while remaining one of the most prolific individual contributors to the end-to-end driving policy model.
  • Built the team from the ground up, hiring most of its members. Recognized with multiple performance grants and Top Talent awards.
• End-to-End Trip Autonomy (FSD v14): Introduced reversing and gear changes to the driving policy model, making it broadly capable of unparking and K-turns, and launched configurable Arrival Options (Driveway, Charger, Street, Parking Lot). Enabled zero-intervention trips in which the vehicle unparks and parks according to each user's preference.
• Actually Smart Summon (shipped Sept 2024): Led the complete product design and engineering, working with vehicle software, UI, and mobile teams. Customer vehicles drive themselves, unoccupied, to their owner within a 100 m radius on private roads. Rolled out to most HW3/HW4 vehicles globally.
  • Owned the driving policy: capable and safe, with zero safety issues across millions of sessions.
  • In 2026, unified the FSD and Summon models on HW4 and shipped to Cybertruck.
• Robotaxi: Core contributor from the Cybercab unveil (We, Robot, 2024: live rides between multiple destinations on a closed course), through the first driverless rides on public roads (Jan 2026, since expanded to multiple cities), to Cybercabs with no steering wheel or pedals on public roads (Aug 2026).
• Driving Policy Model: Shipped a sustained, high-volume stream of improvements to the production end-to-end model across architecture, training data quality, and new datasets and evaluations. Most recently drove development of next-generation reasoning capabilities targeting the hardest remaining failure modes such as complex or unreachable destinations, blocked roads, and incorrect navigation.

• Led the Trajectory Selection & Remote Guidance team within Motion Planning (10 direct reports)
  • Highly regarded leader with excellent rapport with all direct reports and a mentor to many on other teams. Perfect eNPS scores for Growth, Management Support, and Recognition.
• Responsible for analyzing the desirability of each proposed AV candidate trajectory and selecting the optimal one considering safety, comfort, and other factors.
• Pioneered a movement to increase novel candidate trajectory diversity throughout the planning stack, greatly expanding the AV's ability to appropriately evaluate complex interactions.
• Designed, implemented, and iterated on the system for object interaction risk evaluation.
• Drove the effort to incorporate Deep Learning into Motion Planning for evaluating human-likeness and contributed to successful and accelerated deployment in the fleet.
• Frequently contributed very high-impact self-motivated projects (select examples from 2022Q3):
  • Reduced the runtime of every simulation by 73s, reducing simulation costs by 25%.
  • Optimized in-house serialization codegen to reduce single build-unit compile times by up to 7.5mins, reduced overall vehicle software binary sizes by 15%.
  • Reduced overall post-simulation metrics evaluation runtimes by 35%.
  • Redesigned the org-wide profiling library, removing lock contention and undue overhead.
• Led the cross-functional development of the Remote Guidance platform with a focus on integration into the autonomy stack. Deployed 13 guidance features and 7 request detectors.
  • Successfully mitigated 2000 interventions per month.
• Developed onboard/offboard metrics and dashboards used to enable fleet-driven program management and inform project priorities.
• Co-architected the next-generation visualization framework based on Magnum Graphics and ImGui.
  • Drastically reduced the development effort needed for improved system introspection (~5x).
  • Improved rendering runtime performance by ~10x & enabled compelling modern visual effects.
  • Provided a pathway for tools to be transpiled for web-based deployment using WASM.

• Developed an efficient, real-time-safe robotics software framework and middleware that replaced ROS in the L4 system.
  Created rich developer-facing tooling for real-time diagnostics as well as data recording, replay, processing, and visualization, enabling teams to iterate at a rapid pace
• Architected and implemented many of the core L4 stack libraries
• Acted as the de facto software engineering/C++ expert for all AD/AI SW teams
• Optimized algorithm designs and implementations across the full AD stack
• Designed and implemented the base object fusion solution (multi-modal, multi-target)
• Established and co-managed the L4 SW testing release process

• Contributed to improving Chrome Autofill for 100M+ users
• Refined global compatibility with improved pattern matching for element detection
• Created an automated integration testing suite for Autofill in Chrome
  • Removed the need for tedious manual reliability/website compatibility testing
• Experimental investigation of future directions for Autofill
  • Prototyped a next-gen automated checkout solution during an internal two-day hackathon

• Co-developed a new CAN requirement spec. format for company-wide usage w/ Model 3
  • Replacement for DBC, designed for data de-duplication, flexibility, and auto-optimization
• Created a fully-featured JCAN editor application (Canode), used by all firmware teams
  • Natively multi-platform, fully asynchronous, loosely coupled and highly cohesive
  • Provides instantaneous bus analysis results and input feedback for improved workflow
  • Automatic updates served by a full-featured release server
• Advised on and enabled data driven decision-making for Model 3 CAN architecture
• First week: built and deployed a release artifact service with LDAP authenticated web app

• Built Telltale, Disk Map and Tabby (see Apps)
• Reached 2.5 million unique users in 5 months with an MVC web app (AdCraft.co 2011)
• Created and deployed a fast, scalable and responsive image sharing website
• PostgreSQL & MongoDB optimization and management
• Long-term software consulting to Water Wall Turbine Inc. (Web Development / Graphics)
• Operating a registered business and negotiating deals with client organizations

• Designed a distributed stack consisting of Angular.js, Node.js, PostgreSQL, Redis
• Created a responsive real-time single page application using Angular.js and Socket.io
• Allowed for scalable deployment with a stateless RESTful API backend using JWT authentication

Empowering Novel Marine Commuting.