Machine-learning potential for silver sulfide: From CHGNet pretraining to DFT-refined phase stability

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As the founding member of the backend team, I worked to establish the underlying technical architecture that powers the persistent live components of the game. As the backend team grew, we built numerous C# microservices running in Kubernetes hosted on Azure. Viewing this as a long-term live-service game, we designed our systems with that in mind. Multiple region-aware matchmaking flows. An internal web portal for customer support. Player reporting and moderation systems. Cross-platform account linking. Login queues. Extensive load testing. The list goes on and on.

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It is interesting to note how the distinction between Mongo NoSQL and traditional SQL approaches is becoming fuzzier and fuzzier. MongoDB has added ACID transactions and schema validation; at the same time, Postgres support for composite types like JSON/JSONB and ARRAY keeps improving