• Improved stability and performance of customer-facing Terraform modules and infrastructure.
• Developed new end-to-end testing infrastructure, with greater visibility and insight into: long-tail runs, distinct failure modes, cloud service provider reliability, product reliability, etc.
• Designed and implemented new product release qualification procedures and requirements, focusing on customer experience, minimizing customer frustration.
• Implemented new TCMS infrastructure using Qase (migrating from TestRail) for cost-saving and reliability reasons.

• Developing Vulkan graphics drivers for the AMD-based GPU in Samsung phones.
• Solved multiple conformance issues with Vulkan dEQP on the Samsung User Mode Driver (SUMD).
• Implemented new features to better support ANGLE and improve rendering performance.

• Developed Valve Anti-Cheat and Steam Trust machine learning model and infrastructure. Implemented several new detection methods and heuristics for cheat and bot detection. These methods resulted in much higher and more accurate detections, improving the game experience for millions of daily users.
• Low-level x86 Steam Datagram Relay (SDR) and game server I/O performance tuning and accompanying tooling, allowing for much more efficient use of hardware and consistent low-latency experience for users.
• Cross-platform (Windows/Linux/macOS) software and game porting/development
• Anti-fraud and anti-bot infrastructure to combat automated account creation, cheating, and other malicious activity. Worked with Google to improve reCAPTCHA and other anti-fraud tooling for Valve's use case.
• Several improvements to the Steam Hardware Survey, improving data sanitization and gathering
• Game Networking Sockets library development, maintenance and porting. The library provides developers with a good basis for multiplayer game networking, with support for the Steam Datagram Relay (SDR) infrastructure.
• Steam Deck OS and Proton development and low-level x86 tuning/debugging, mostly on the Wine and kernel side. Improved compatibility and performance for many games across the board.

Developed the "10000th Anniversary Edition" remaster of Darwinia. Rewrote the majority of the 2005-era game engine for performance and compatibility on modern hardware.

• Redesigned and rewrote graphics subsystem to support OpenGL 3.3 core and OpenGL ES 3.0. Uses ANGLE to support multiple rendering backends: Vulkan, Direct3D, Metal, OpenGL. Introduced support for MSAA/SSAA/SMAA/FXAA for anti-aliasing, and AMD FSR 1.0 for scaling. Changes were implemented with a strong focus on performance and higher fidelity visuals.
  The original game engine only used the fixed-function OpenGL pipeline and had no support for any of the modern graphics tools like vertex buffers, framebuffer objects, vertex arrays, or shaders.
• Rewrote custom UI toolkit to use dynamic DPI scaling to better support high DPI displays.
• Rewrote sound engine to use MiniAudio for spatialized multithreaded high-performance cross-platform game audio. Supports up to 7.1-channel surround sound. The original engine only supported spatialization on Windows with DirectSound, and only supported up to 2-channel (stereo) audio.
• Improved platform portability, introducing support for 64-bit CPU architectures, native Apple Silicon support, and optimizations for other tile-based renderers.
• Significantly improved game performance through rendering, game math, and core design optimizations.
• Fixed numerous long-standing gameplay, graphics and audio bugs.
• Worked with numerous graphics hardware/driver vendors to solve bugs discovered in their driver implementations (AMD, NVIDIA, Intel, Qualcomm).
• Contributed to the MiniAudio, ANGLE, and SDL projects to solve bugs or add new features.
• Providing long-term game updates on Steam and Good Old Games (GOG) with support for macOS, Windows, and Linux.

Linux kernel engineer, software engineer, and performance guru.

• Development focus on several key areas while with Amazon EC2: block I/O performance, network throughput/latency, hypervisor scheduling and resource allocation, scalable fleet validation and testing instrastructure, and new platform development.

• Primary platform team engineer responsible for multiple platforms:

  • High-capacity HDD-based High Storage (HS1) platform (hs1.8xlarge). Aside from base platform development, implemented generally applicable core platform tooling for resource affinity to ensure high throughput.
  • First SSD-based High I/O (HI1) platform (hi1.4xlarge). Aside from base platform development, implemented several kernel, hypervisor, and userspace changes to ensure high I/O per second (IOPS) rate.

• Developed critical tooling for platform performance and development:

  • Wrote declarative tools/services for fair resource management on all EC2 instance types (PID affinity, IRQ affinity, vCPU/pCPU pinning, CPUID topology).
  • Co-author of a fast, scalable, and reliable tool infrastructure (internally called "Mjollnir") used for platform qualification, benchmarking, testing, and emergent operational use cases. To this day, Mjollnir still enables engineers to rapidly prototype and qualify platforms for the Amazon EC2 fleet.