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Embedded Rust Developers in United Kingdom

Built safety-critical automotive firmware using C, RTOS scheduling, real-time state machines, and ISO 26262/MISRA C practices on resource-constrained microcontrollers. Also develops Rust services with Axum, Tokio, SQLx, custom error types, and asynchronous concurrency from API design through persistence.

• BLE GATT and custom wireless protocol implementations
• CAN, UART, SPI, and I2C device communication
• LittleFS and Dhara flash translation layers
• Wear-leveling drivers for raw NAND and NOR flash

Developed embedded systems software in Rust and C, focusing on memory-constrained environments. Implemented cross-platform solutions using Python and C# for IoT devices.

• Developed embedded software in Rust and C
• Implemented cross-platform IoT solutions
• Focused on memory-constrained environments

Designed firmware for low-power IoT devices using Rust and Embedded Linux. Developed real-time embedded systems software with deterministic performance in safety-critical environments.

• Integrated Matter protocol for smart home applications
• Optimized C++ code for resource-constrained devices
• Implemented cross-platform communication layers in Go

Built real-time embedded systems for automotive control units, focusing on low-latency and high-reliability using Rust and Embedded C.

• Ported C++ firmware to Rust for enhanced safety
• Integrated MCUs with complex sensor arrays
• Debugged low-level hardware interactions on Embedded Linux

Architected electronic trading systems for FX and digital assets, including exchange connectivity, FPGA market-data adapters, trade capture, portfolio management, and risk controls. Also developed online machine-learning systems under extreme latency constraints and transactional platforms requiring extensive auditability and correctness.

• Embedded Rust for performance-sensitive devices
• OTC pricing and streaming infrastructure
• PostgreSQL trade-booking database design
• Mechanical-sympathy low-latency architecture

Engineered real-time systems using Rust and C++, focusing on performance optimization and reliability. Developed cross-platform software solutions with Java and Kotlin.

• Implemented concurrent data structures
• Optimized algorithms for large-scale simulations
• Integrated hardware interactions in embedded systems

Designed high-performance computing systems using Rust and C++ for large-scale simulations. Developed a custom Haskell-based compiler for domain-specific languages, enhancing code generation efficiency.

• Pioneered multi-threaded processing techniques in Python
• Implemented JavaScript-driven interactive data visualizations
• Contributed to open-source projects for distributed systems

Designed and implemented high-performance networking protocols utilizing Rust, focusing on optimizing HTTP/1.1, HTTP/2, and HTTP/3 for real-time data transfer. Led the development of a custom SOCKS proxy server to enhance secure data transmission across distributed networks.

• Built scalable distributed systems for real-time communication
• Optimized network latency in cloud environments
• Implemented custom load balancing algorithms

Developed scalable microservices architecture for a high-traffic e-commerce platform using Rust and Go. Built a multi-threaded data processing pipeline, optimizing performance for real-time analytics. Designed and implemented a custom caching layer in C++ for financial systems, achieving a 40% reduction in latency.

• Implemented PostgreSQL extensions for custom data types
• Migrated legacy systems to cloud-native solutions
• Developed RESTful APIs with comprehensive testing frameworks

Led a team to develop a distributed computing system in Rust, focusing on concurrency and fault tolerance. Designed algorithms for signal processing applications using Matlab, improving computational efficiency.

• Integrated C++ modules for enhanced performance in simulations
• Utilized C for low-level hardware interaction tasks
• Automated testing frameworks with Python and C#

Built data pipelines using SQL and Snowflake for large-scale data analysis. Developed containerized applications with Docker and Podman, enhancing deployment efficiency.

• Integrated R for statistical data analysis
• Optimized Python scripts for data transformation
• Developed scalable data solutions for enterprise needs

Built Python ingestion pipelines that stream, clean, validate, and batch-load inconsistent feeds into databases. Delivered a full-stack review application with authentication, authorization, API endpoints, and structured workflows for evaluating AI-generated results.

• Created JavaScript localization extraction and reconstruction tooling
• Automated payroll CSV validation with Python and Tkinter
• Implemented GitHub Actions multi-environment deployments
• Built Leaflet-based geographic event mapping

Leads backend architecture for a production trading platform handling real user funds, with single-writer state, idempotent workflows, atomic settlement, and fail-closed reliability controls. Builds low-latency Rust services using Tokio and Axum, including real-time gRPC and WebSocket data pipelines.

• Normalized multi-source market data with freshness handling
• Designed bounded-channel backpressure and workload-isolated job queues
• Operated PostgreSQL, Redis, ClickHouse, Kafka, and Flink systems
• Developed Solana programs for on-chain transaction workflows

Designed a typed language, compiler, and Rust runtime for LLM-generated agent workflows, modeling entities, relationships, and actions independently of external API formats. The runtime coordinates parallel execution, caches intermediate results, invalidates affected reads, and attaches provenance traces and information-flow labels to outputs.

• Open-source compiler and runtime architecture
• Policy checks for planned agent actions
• Complete, partial, and unknown result coverage
• Connected-home and provenance platform development