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Fintech Rust Developers in Canada

Builds high-throughput, low-latency distributed systems for real-time trading, regulated payments, and firehose-scale data ingestion using functional Scala and concurrent streaming architectures. Has modernized legacy JVM platforms into independently deployable services and operated production workloads across public-cloud Kubernetes environments.

• Akka-to-Pekko zero-downtime migration
• Kafka and Kinesis event pipelines
• Cats-Effect, FS2, and ZIO
• PostgreSQL service backends

Architected distributed systems using Rust and Elixir with a focus on high availability. Pioneered the development of a custom SQL and CQL query engine for large-scale data processing. Designed fault-tolerant backend services in Erlang for critical applications.

• Designed distributed systems with Rust and Elixir
• Developed custom SQL/CQL query engine
• Built fault-tolerant Erlang services

Engineered cloud infrastructure solutions, optimizing resource usage and reducing costs by 40%. Led R&D efforts on distributed systems, transforming prototypes into production-ready services.

• Designed scalable API architectures
• Managed cross-functional engineering teams
• Pioneered cloud-native development practices

Architected distributed systems for high-frequency trading platforms, focusing on low-latency and fault-tolerance using Rust. Designed and implemented microservices in Erlang for real-time financial data processing.

• Built RESTful APIs in Dart for cloud-native applications
• Contributed to C# libraries for data serialization
• Developed Java middleware for message queue systems

Architected secure data management systems using Rust and C#, focusing on encryption and access control. Led the development of a cross-platform incident response tool integrating SQL Server and Oracle databases.

• Designed real-time threat detection algorithms
• Developed secure APIs with token-based authentication
• Implemented multi-factor authentication systems

Contributed to a telecom network-intelligence platform covering 4G EPC, 5G Core, IMS, signaling stress tests, failover, degradation analysis, and SLA assessment. Built Python APIs and PySpark query flows with cached anomaly baselines, parameter-hash invalidation, duplicate-job locking, and circuit-breaker protection.

• Added live report progress and ETA tracking
• Implemented exponential-backoff retries
• Wrote Pytest integration coverage
• Diagnosed Jenkins verification pipeline failures

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

Implemented a mixed-precision GMRES sparse linear solver with iterative refinement for scientific computing workloads. Developed a video-conferencing capstone combining human-pose estimation, motion annotations, and browser real-time media transport.

• Linux kernel scheduler laboratory instruction
• Mutex and semaphore synchronization experiments
• WebRTC real-time media integration
• Qt data-driven visualization widgets

Builds low-level Linux and bare-metal networking systems, including kernel-facing components, TCP/IP infrastructure, BGP routing, VLAN segmentation, and WireGuard-based secure control planes. Has optimized heterogeneous CPU/GPU runtimes with JAX and OpenXLA and implemented high-throughput computer-vision execution paths using native Rust and C extensions.

• Operates bare-metal Kubernetes clusters with K3s and MetalLB
• Develops Rust Python extensions using pyo3 and maturin
• Designs time-series storage with PostgreSQL and TimescaleDB
• Implements infrastructure automation through Terraform and AWS

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

Engineered scalable backend systems using Rust, with integrations in Node.js for real-time applications. Developed cross-platform services with a focus on low-latency data processing.

• Built concurrent data pipelines in Go
• Designed scalable architecture for cloud-native applications
• Implemented security protocols in distributed systems

Contributed to Ethereum's consensus protocol optimizations using Rust and Solidity. Developed smart contracts and implemented improvements to Ethereum Virtual Machine performance.

• Designed secure transaction systems with Haskell
• Refactored C++ modules for blockchain scalability
• Enhanced Python tooling for blockchain analytics

Conducted design verification for ARM-based systems using C++ and Python. Developed test benches to validate hardware designs through simulation and emulation.

• Authored verification scripts in Rust
• Analyzed LLVM IR for compiler optimizations
• Utilized ARM assembly for low-level testing

Developed cross-platform applications in Rust, focusing on system-level programming and performance optimization. Contributed to Go-based projects involving network protocol implementations.

• Implemented C++ modules for embedded systems
• Created Python scripts for automated testing
• Developed TypeScript tools for frontend integration