SHAUN K. KUTSANZIRA

Duisburg Business & Innovation • Germany

- Designed and deployed production-level Retrieval-Augmented Generation (RAG) pipelines for enterprise document ingestion and analysis workflows using Python and PostgreSQL. - Built and maintained backend REST APIs (14 endpoints) supporting real-time querying of AI- enhanced datasets for interactive user-facing applications. - Developed local LLM serving infrastructure including model optimization techniques (quantization and distillation) to enable on-premises inference and reduce external API dependency. - Engineered monitoring and automation systems for AI-assisted CRM and LinkedIn ingestion pipelines, improving internal workflow efficiency by 50%. - Contributed to system architecture decisions for scalable GenAI deployments integrating regional sustainability indicators across 61 administrative regions (1975-2024). - Implemented ETL pipelines using GENESIS/Landesdatenbank APIs for automated ingestion of structured public-sector datasets into PostgreSQL environments.

Neuefische GmbH • Germany

- Developed Python-based scripts for data cleaning, transformation, and automated analysis workflows. - Implemented statistical analysis pipelines and SQL queries for structured dataset processing. - Created Excel macro-enabled reporting tools to reduce manual data processing time by approximately 50%.

AMS Global • Kandahar, Afghanistan

- Built operational KPI dashboards supporting procurement, logistics, and financial risk monitoring. - Applied demand forecasting models to support strategic sourcing decisions, contributing to annualized cost savings of USD 27M. - Designed reporting workflows translating multi-departmental operational data into decision- support outputs for leadership teams.