Amna

ML Engineer

SAP • Part time

Jun 2024 - Jan 2026 • 1 yr 7 mos

Responsibilities: Knowledge Graph Embedding model training, RAG pipeline architecture, LLM integration, advanced prompting strategy design, and automated document ingestion pipeline development. Achievements: Improved link prediction accuracy by 7% by training and benchmarking 4+ KGE models on enterprise-scale knowledge graphs Reduced manual sustainability query resolution time by 10% via an enterprise-grade RAG pipeline Improved factual grounding by 12% and minimized hallucinations through advanced retrieval strategies Developed automated pipelines for document ingestion and contextual retrieval via LangChain and OpenAI APIs

Senior Data Engineer

Arbisoft • Full time

Oct 2023 - Mar 2025 • 1 yr 5 mos

Responsibilities: Data pipeline design and development, feature engineering for AI models, requirement gathering, data architecture planning, and resource utilization and cost analysis. Achievements: Built a User Journey Analytics dataset adopted company-wide, driving a 12% increase in quarterly revenue Reduced pipeline processing time by 93% (13 hours to 45 minutes) through query and pipeline optimization Increased potential revenue conversion by 6% through conversion gap analysis Developed company-wide cost and feasibility plans for Trino, AWS, S3, and Kafka, reducing infrastructure spend Delivered team-wide onboarding trainings for Trino, AWS, Python, and SQL

Software Engineer — Data Lead

Afiniti • Full time

Apr 2021 - Aug 2023 • 2 yrs 4 mos

Responsibilities: Data pipeline development, feature engineering for AI models, team leadership, data migration, process monitoring, and performance analysis across multiple UK enterprise clients. Achievements: Delivered a 67% revenue increase over 6 months for SAGA UK through data pipelines and feature engineering Contributed to a 25% increase in quarterly revenue for Automobile Association UK through an improved data engineering framework Drove a 7% revenue increase for SKY UK through feature engineering and analytics for AI models Reduced pipeline runtime by 60% and process failures by 13% through query optimization and automated fallback mechanisms Executed data migration from SQL Server to Greenplum, improving scalability and performance Built GDPR-compliant data pipelines and data retention systems, reducing storage utilization by 30%