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Systems Rust Developers in London

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

Specialized in distributed systems, implementing fault-tolerant services in Python and Rust. Developed a high-throughput messaging system using C++.

• Optimized Go services for cloud scalability
• Integrated C libraries for performance-critical applications
• Implemented cross-platform solutions with Rust

Developed robust network protocols for high-traffic systems and optimized data processing algorithms for large-scale distributed applications.

• Designed custom systems engineering solutions
• Conducted advanced R&D in software design
• Implemented complex algorithmic solutions

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

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

Engineered backend systems with a focus on high concurrency and low latency. Implemented machine learning algorithms for predictive analytics in Rust. Developed robust Web3 applications leveraging blockchain technologies.

• Designed CI/CD pipelines using DevOps best practices.
• Optimized server infrastructure to handle peak loads efficiently.
• Built secure authentication systems for decentralized applications.

Architected large-scale data processing systems using Scala and Java. Developed statistical models and data analysis tools with R.

• Implemented machine learning algorithms in Python
• Designed real-time data streaming applications
• Led the development of microservices in Go

Developed backend systems using Rust and Python, focusing on data-intensive applications. Implemented Redis-based caching solutions, enhancing query performance. Designed SQL schemas for efficient data retrieval and storage operations.

• Backend development with Rust and Python
• Implemented Redis caching solutions
• Designed efficient SQL schemas

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

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 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

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

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

Led the design and development of a cloud-based platform leveraging Rust for backend services. Innovated scalable solutions for real-time data processing pipelines in AWS environments.

• Developed cloud-native architecture using Rust
• Implemented real-time data pipelines on AWS
• Optimized backend services for scalability