High-throughput wallet and double-entry ledger system
Building a high-throughput wallet and double-entry ledger system.
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Technical architecture breakdowns of production systems, projects, and repositories this candidate has attached to their dossier.
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Building a high-throughput wallet and double-entry ledger system.
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LLM and RAG systems including a financial analyst using QLoRA fine-tuning and a hybrid RAG pipeline.
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Engineered a PostgreSQL double-entry ledger with alphabetical lexicographical row-locking, offloaded notification and logging tasks to asynchronous Apache Kafka consumer groups, and implemented a fast-path idempotency gate using Redis distributed locks and write-through balance caches.
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Evaluated an LLM financial analyst across benchmark cases through schema-aware SQL generation, connection-level validation filters, context controls, designed a hybrid RAG pipeline, and fine-tuned a local 1B model via QLoRA.
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Engineered a schema-compliant auditing and segmentation pipeline using sequential double-entry replays and K-Means clustering, and built a customizable ML engine and React dashboard using scikit-learn Isolation Forest and Recursive Random Forest.
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Implemented a Redis Write-Behind Cache combined with PostgreSQL composite and GiST spatial indexes, used a Haversine filter with a 3s update interval, and designed a horizontally scaled backend cluster with 3 Node.js instances load-balanced by Edge Nginx integrating a Redis Pub/Sub Adapter.
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