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Data Systems Rust Developers

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

Engineered high-performance data processing pipelines using Scala and Rust, focusing on real-time analytics. Designed and maintained distributed systems for large-scale data ingestion and processing.

• Built microservices architecture using Go and Java
• Integrated TypeScript for front-end data visualization
• Optimized C++ algorithms for data compression

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

Builds data platforms and ingestion services with asynchronous Rust, including an open-source ETL framework, a Tokio-based Elasticsearch client, and production APIs for importing and exporting pipeline data. The work combines Rust service architecture with developer-facing tooling for large-scale data workflows.

• Computer-vision trend detection pipelines
• RAG agents across web sources
• Next.js product development
• Python data-platform services

Designed a Kafka-fed Rust caching service for a sanctions platform whose nightly database workload reached approximately 21 billion requests. The architecture reduced that traffic to fewer than four million requests while supporting migration from legacy sanctions workflows into a PostgreSQL-backed platform.

• Built real-time backend services with Python and Node.js
• Developed React interfaces for sanctions operations
• Modernized end-of-life application workflows
• Eliminated recurring manual database updates

Engineered quantitative trading algorithms using Python and Rust, optimizing execution on cloud platforms. Automated deployment pipelines with Kubernetes for seamless CI/CD.

• Integrated AWS for cloud-based computation
• Utilized Docker for containerized environments
• Implemented robust CI/CD with GitLab

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

Migrates core components of the Redis RediSearch C query engine to Rust across a performance-sensitive C/Rust boundary while preserving behavior and throughput. Has also co-authored incremental C-to-Rust migration training material and built production Rust services integrating Kafka, backend systems, and infrastructure.

• Security issue discovery in search infrastructure
• Rust FFI and C ABI maintenance
• WebAssembly component development
• Axum and Tokio service implementation

Designed Rust execution and storage infrastructure for distributed ledgers, including a payment engine benchmarked at multi-million transactions per second and replay protection using per-account nonces and intent deduplication. Built full-node storage integration, chain reorganization handling, and zero-knowledge-compatible data-availability verification, raising production throughput to 5,000 TPS.

• Consensus fork selection and state finalization
• Celestia data publishing integration
• Prover and verifier storage coordination
• Production observability infrastructure

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 blockchain solutions for both EVM and non-EVM platforms, focusing on data integrity and scalability. Designed complex algorithms and data structures for distributed systems.

• Developed consensus protocols for blockchain networks
• Optimized system design for high throughput
• Implemented cryptographic algorithms for security
• Led cross-functional teams in blockchain projects

Led development of distributed systems using NodeJs and Rust for real-time data processing. Implemented Kafka for event-driven architectures to handle high-throughput data streams. Utilized Redis for caching and fast data access.

• Integrated GitlabCI for automated testing and deployments
• Developed monitoring solutions with Kibana
• Optimized data flow with advanced queuing techniques

Built backend and data platforms using Python, Rust, PostgreSQL, Airflow, and CDC synchronization, including an enterprise warehouse with dimensional modeling and SCD Type 2 history. Implements asynchronous services with epoll-based I/O, binary protocol parsing, database query planning, and safeguards for financially sensitive payout workflows.

• RBAC-protected operational application for 80 users
• PostgreSQL B-tree and query-planning knowledge
• AWS Lambda and S3 deployments
• Power BI finance and operations analytics