I architect high-availability distributed systems, enterprise .NET microservices, and AI-native development platforms that scale under extreme load. With over a decade of lead engineering experience across international markets, my focus centers on domain-driven boundaries, high-throughput caching, and robust cloud foundations that eliminate production downtime and preserve mission-critical systems.
| Domain | Technologies & Patterns |
|---|---|
| Backend & Microservices | C#, .NET 8, ASP.NET Core, CQRS / MediatR, gRPC, REST APIs |
| Cloud & DevOps | Azure, AWS, AKS (Azure Kubernetes Service), Docker, Azure Service Bus, CI/CD Pipelines |
| Data & High-Concurrency | SQL Server, Cosmos DB, Redis (Distributed Caching), Query Optimization |
| AI & Modern Engineering | AI Agents, Spec-Driven Development, Autonomous Task Automation Workflows |
- Enterprise Risk Management & Modernization (InsurTech): Modernized legacy monolithic services into decoupled
.NET 8microservices, eliminating 90% of production downtime and improving throughput by 20% via targeted Redis caching strategies. - Global Client & Engagement Tax Platform (FinTech & Big-4 Compliance): Engineered a high-throughput
gRPCandAzure Service Bustax calculation engine managing complex international corporate compliance. - Piql Connect (1,000-Year Arctic Preservation): Built a secure digital ingestion engine designed to preserve humanity's mission-critical archival records for a millennium in the Svalbard Arctic Vault.
- Offshore Oil Rig Telemetry & Spatial Mapper (Energy): Delivered real-time North Sea offshore drilling telemetry ingestion and geospatial tracking scaling on AKS and Cosmos DB.
- Distributed Microservices & Web APIs: Architecting decoupled, high-availability
.NET 8backends and contract-first Web APIs engineered for extreme uptime. - Modern AI & Autonomous Engineering: Accelerating delivery with spec-driven development, custom task automation agents, and data intelligence workflows.
- Cloud-Native Infrastructure & DevOps: Designing scalable cloud foundations across Azure and AWS with container orchestration and zero-downtime deployments.
- High-Concurrency Data Tuning: Optimizing complex data layers, Redis caching, and database storage for sub-50ms data paths under heavy load.
### π Tech Stack & Analytics ---
"Turning complex scale challenges into clean, maintainable infrastructure."
Explore case studies and architecture notes at rhasan.bd.




