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Systems Rust Developers

Built high-performance runtime environments optimized for distributed systems on Linux platforms. Designed backend systems for real-time data processing across large-scale infrastructures.

• Enhanced garbage collection in custom Rust runtime
• Optimized inter-service communication for microservices
• Implemented consensus protocols for distributed databases

Built a Rust complex-event-processing engine that composes reusable processing blocks into Kafka-consuming and Kafka-producing deployments. The system uses Tokio tasks, NATS stage transport, embedded Python execution, and dependency-aware input routing to reproduce production-grade stream-processing architecture.

• Implemented bidirectional PyO3 type marshalling across the FFI boundary
• Managed Python GIL boundaries for in-process block execution
• Developed Linux filesystem drivers and embedded firmware
• Built distributed event-driven backends in Scala, Java, and Go

Architected scalable database systems using Rust, focusing on high availability and fault tolerance. Led the design of business applications with a strong emphasis on technical specifications.

• Developed distributed database engines from the ground up
• Designed architecture for large-scale data warehousing
• Optimized query execution plans for performance gains

Maintains WebAssembly plugin bindings for a Rust Minecraft server, including automated repository synchronization, compatibility testing, and version releases. Contributed WebAssembly backend work to LLVM and added D-language WIT binding generation, WASI runtime support, WebAssembly exception handling, and garbage-collector compatibility.

• GlobalISel integration for WebAssembly
• D-language WIT target support
• WASI standard-library enablement
• WebAssembly garbage-collector LLVM pass

Engineered high-performance backend systems for AI-driven applications. Specialized in building scalable distributed systems and microservices with a focus on REST and WebSockets.

• Built AI-driven backend systems
• Specialized in distributed systems
• Utilized REST and WebSockets extensively

Architected distributed systems with a focus on network protocols and cloud infrastructure. Enhanced system observability through advanced logging and monitoring techniques.

• Designed scalable cloud-based distributed systems
• Improved network protocol efficiency
• Implemented advanced system observability tools

Designed a peer-to-peer privileged-access architecture that removes centralized single points of failure from trust and authorization paths. Implements security-sensitive systems in Rust, C++, and x86-64 assembly, spanning cryptographic protocols, kernel development, reverse engineering, and Windows/Linux internals.

• Custom cryptographic backbone for decentralized PAM
• Zero-trust identity and access-management architecture
• Tokio and Actix high-concurrency services
• IDA Pro, Ghidra, x64dbg, and WinDbg workflows

Validated embedded systems software using SCPI and PyVISA for communication protocols. Developed test harnesses for STM32 microcontroller-based systems.

• Automated validation processes with Python scripts
• Configured hardware interfaces for improved testing
• Integrated Rust modules for enhanced performance

Designed MLS group-state features and bidirectional streaming transport for secure messaging, including ordered delivery, heartbeats, reconnects, external invites, and per-field permissions. Reduced 100-device group-invite storage from 8 MB to 200 KB and reduced full-group database loading from 13 reads to one.

• Migrated core product infrastructure into Rust
• Built FFI boundaries for untrusted drivers
• Enabled PostgreSQL through asynchronous database traits
• Shipped four protocol improvement proposals

Architected multi-tenant systems with a focus on database design and event-driven architecture. Developed distributed systems to ensure high availability and scalability of web services.

• Optimized API endpoints for reduced latency
• Implemented caching strategies for performance enhancement
• Designed CI/CD pipelines for rapid deployment

Engineered quantitative models using Rust and Python for financial analytics. Managed cloud-based data processing on AWS and Azure, optimizing cost and efficiency.

• Developed API integrations for trading platforms
• Utilized Google Cloud for scalable data storage
• Created dashboards for real-time financial metrics

Architected embedded systems with a focus on Linux-based platforms using Yocto. Developed real-time applications in Rust for resource-constrained environments.

• Created custom Linux kernel modules
• Implemented C++ solutions for hardware interfacing
• Automated build processes with Bash scripting

Led development of blockchain infrastructures using Rust and Substrate, with a focus on debugging complex systems using GDB and LLDB. Extensive experience in systems programming with C and Python.

• Architected blockchain solutions with Substrate
• Advanced debugging with GDB and LLDB
• Systems programming in C and Python

Contributed to Linux kernel development with a focus on device driver enhancements using Rust and C. Developed tools for kernel debugging and performance analysis.

• Implemented custom kernel modules for hardware interfaces
• Enhanced system security with Rust-based tools
• Optimized resource management in Linux environments