Teams at South Geeks

Investigate and resolve data-quality issues in large-scale distributed systems. Design Java-based repair pipelines and idempotent correction jobs for high-volume datasets, debug existing code, use AWS services for queue-driven and batch workflows, optimize performance and concurrency, and communicate technical findings and risks to stakeholders.

Lead architecture and build scalable, secure production services while championing AI-native development. Mentor engineers, influence technical direction, review PRs, and help evolve a legacy monolith to a modern stack in partnership with product and exec leadership.

Design and build a hybrid rule-based and machine-learning system that maps contractor free text to a four-tier SAP catalog hierarchy, detects anomalies, learns from operator corrections, and exposes the model through a microservice. Responsibilities include architecture documentation, accuracy-threshold recommendations, classification pipeline development, model evaluation, feedback-loop design, and collaboration during Agile sprint reviews.