EVIDENCE DOSSIER
// PRODUCTION DEPLOYMENTS & ARCHITECTURAL CASE STUDIES · SECTION 04

Flagship Systems & Production Impact

Technical architecture breakdowns of production systems, projects, and repositories this candidate has attached to their dossier.

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SYSTEM 01 // PROJECTROLE: FEATURED PROJECT

High-throughput wallet and double-entry ledger system

Building a high-throughput wallet and double-entry ledger system.

TechnologyNode.js
StackPostgreSQL
PlatformRedis
Outcomereduced transaction API latency from 1526ms to 29msSelf-reported
Metric 02—Pending
Metric 03—Pending
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SYSTEM 02 // PROJECTROLE: FEATURED PROJECT

Financial analyst LLM/RAG system

LLM and RAG systems including a financial analyst using QLoRA fine-tuning and a hybrid RAG pipeline.

Technology—
Stack—
Platform—
Outcomeachieved a 91.43% task success rateSelf-reported
Metric 02—Pending
Metric 03—Pending
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SYSTEM 03 // PROJECTROLE: FEATURED PROJECT

High-Throughput Wallet & Ledger System

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.

TechnologyNode.js
StackFastify
PlatformPostgreSQL
OutcomeReduced core transaction API latency by 98.10% (1526ms to 29ms), eliminated write deadlocks and balance drift under a load of 166+ TPS, and prevented double-spending and duplicate requests in under 1ms.Self-reported
Metric 02—Pending
Metric 03—Pending
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SYSTEM 04 // PROJECTROLE: FEATURED PROJECT

AI Financial Analyst

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.

TechnologyPython
StackFastAPI
PlatformQdrant
OutcomeAchieved 100% execution success and tool-selection accuracy across 35 benchmark cases, 83.33% recall and 88.57% citations on a hybrid RAG pipeline, boosted task success rate from 40% to 91.43% (+51.43 pp), and reduced latency by 17%.Self-reported
Metric 02—Pending
Metric 03—Pending
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SYSTEM 05 // PROJECTROLE: FEATURED PROJECT

Financial Intelligence Platform

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.

TechnologyNode.js
StackPython
PlatformScikit-Learn
OutcomeVerified 1,800+ transactions for 100% balance correctness, isolated 3% outliers, and achieved 94% R² accuracy in projecting 30-day platform cashflows.Self-reported
Metric 02—Pending
Metric 03—Pending
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SYSTEM 06 // PROJECTROLE: FEATURED PROJECT

MapLink

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.

TechnologyReact.js
StackNode.js
PlatformExpress
OutcomeReduced database write transactions by 98%, query latency by 97%, client location requests by 75%, and synced WebSocket broadcasts with an 8ms cross-server latency.Self-reported
Metric 02—Pending
Metric 03—Pending
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// RECRUITMENT & ADVISORY ENGAGEMENTS

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