Sudarshan Dhakal

Senior Software Engineer

Contractor-compliance SaaS platform

• •Led the incremental decomposition of a 200K+ LOC .NET monolith into 40+ event-driven services behind a strangler-fig gateway, with zero downtime across every extraction.
• •Drove successive runtime upgrades to .NET 10 across every service, lowering memory ~35% and CPU ~30%.
• •Migrated 25TB+ (~100M documents) from SQL Server to Amazon S3 with idempotent, checkpointed pipelines and per-object verification, with no downtime.
• •Delivered 99.9% availability and sub-200 ms p95 latency (Datadog) across core APIs serving 100K+ users, profiling and rewriting the SQL Server and PostgreSQL queries behind the slowest endpoints.
• •Engineered 20+ GitHub Copilot custom agents and a skills library for .NET upgrades, EF6 to EF Core and service extraction; agent changes clear characterization tests and the same CI gates as human PRs.
• •Reduced AWS and Azure spend ~30% by rightsizing compute, adding autoscaling and moving batch workloads to serverless.
• •Deployed twice-weekly releases across 40+ services as release owner, coordinating cutovers and rollback plans.
• •Mentored a 5-engineer team, chaired architecture reviews with product and QA, and standardized its agent practices.

Software Engineer

AgileOps alarm-management software for industrial operations

• •Launched a real-time monitoring dashboard (.NET Core, React) giving operations teams live visibility across 500+ manufacturing assets, shortening incident response 30%.
• •Integrated React incrementally into a legacy ASP.NET MVC application, converting its 2 largest pages to reusable components and halving UI development time.
• •Designed and optimized REST APIs with retry, circuit-breaker and telemetry instrumentation, raising reliability and response speed 25%.

Software Developer

• •Built an inventory and scheduling system (ASP.NET WebForms, JavaScript, SQL Server) handling 50K+ daily transactions for digital billboards across 200+ locations.
• •Streamlined the client registration workflow, taking onboarding from 15 minutes to 3 and deflecting 40% of support tickets.
• •Increased scheduling system data throughput 40% by reworking the SQL layer and indexes.