MLOps Industrialization
A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.
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110 skills found
A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.
Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.
Generate financial statements (P&L, balance sheet, cash flow) with period-over-period comparisons, variance analysis, and GAAP compliance checks.
Architectural planning and scaling for spectre-build, covering GUI, server layers, multi-model support, and industrial pipeline orchestration.
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
Create and manage production-ready Grafana dashboards for observability, real-time metrics visualization, and system monitoring.
Automate regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, and PCI-DSS to ensure legal adherence, prepare for audits, and secure sensitive data.
Automate quality observability with DORA metrics, defect density tracking, and intelligent quality gate configuration for continuous delivery pipelines.
Best practices for building integrations with NetBox REST and GraphQL APIs. Optimize performance, authentication, and architectural patterns for NetBox automations.
Language-agnostic backend architectural patterns covering API design, authentication, security protocols, and database modeling.
Ziwei Doushu charting and layered interpretation engine. Analyzes natal, yearly, monthly, and daily horoscopes using structured data, offering systematic, evidence-based astrological insights.
Synchronize Zoho CRM leads into a local SQLite database with automated upserts, change detection, and a complete audit trail for offline analysis.