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Embedded Rust Developers in London

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

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

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

Architected a large-scale backend system using Scala and Rust, focusing on data consistency and fault tolerance. Developed complex SQL queries for real-time data analytics in finance applications.

• Integrated Typescript for frontend-backend interface consistency
• Enhanced Java-based microservices for scalability
• Pioneered backend solutions for financial transaction processing

Led the development of blockchain solutions using Rust and Solana, focusing on cross-chain interoperability. Implemented AI agents for automated contract execution.

• Developed smart contracts for decentralized applications
• Integrated blockchain solutions with existing financial systems
• Optimized transaction throughput on blockchain networks

Developed full-stack applications with a focus on responsive UI/UX using Vue.js and React.js. Built robust backend services leveraging .NET for enterprise-level data management.

• Designed SQL database schemas for complex query optimization
• Implemented RESTful APIs for seamless frontend-backend interactions
• Enhanced C# backend performance for high-traffic applications

Led development of distributed systems using Rust and Java, focusing on high concurrency. Spearheaded integration testing frameworks in Python to enhance system reliability.

• Built distributed systems in Rust and Java
• Focused on high concurrency solutions
• Led Python integration testing frameworks

Developed quantitative trading systems using Rust and C++, focusing on high-frequency trading algorithms. Implemented smart contracts for decentralized finance applications.

• Built high-frequency trading algorithms
• Developed DeFi smart contracts
• Specialized in quantitative finance systems

Led a team in designing a distributed system for high-frequency trading platforms using Rust and C++. Developed a cross-language communication protocol leveraging Python and Kotlin for data interchange.

• Engineered C-based embedded systems for IoT devices
• Optimized C++ algorithms for computational efficiency
• Integrated Kotlin with backend services for seamless operations

Built scalable full-stack applications using React.js and Node.js, focusing on modern web architectures. Integrated Vue.js for dynamic user experiences in enterprise applications.

• Deployed serverless functions to optimize resource usage
• Engineered real-time communication features with WebSockets
• Utilized Python for backend data processing

Designed quantitative trading algorithms using Python and Rust, focusing on low-latency execution. Developed financial data analysis tools to support trading strategies.

• Built high-frequency trading systems with Go
• Implemented risk management modules in C#
• Optimized data ingestion pipelines for real-time analytics

Developed asynchronous backend systems using Rust and Tokio, optimizing data processing pipelines with MySQL. Applied functional programming techniques from Haskell in building robust, type-safe applications.

• Built asynchronous systems with Rust and Tokio
• Optimized data pipelines using MySQL
• Applied Haskell functional programming techniques

Led the development of scalable backend systems in Scala, optimizing performance for high-traffic environments. Implemented containerized solutions using Docker for consistent deployment.

• Automated data processing pipelines with Python
• Enhanced system reliability on Unix platforms
• Developed custom Perl scripts for data manipulation

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