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AI Engineer with 1+ years in RAG Pipelines & LLM-Powered Systems
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Software engineer with 1.5+ years at Oracle on the APEX Workflow Engine, shipping production features and building AI systems - RAG pipelines, LLM-powered document processing, and agent memory design. Completing an engineering degree in AI & Big Data (Sep 2026).
ISGA - Edvantis
Engineering Cycle · AI & Big Data
N/A – September 1, 2026
Multidisciplinary Faculty of Beni Mellal
Bachelor · Mathematics & Computer Science (SMI)
N/A – July 1, 2024
Oracle APEX Core
Software Engineer
November 1, 2024 – May 1, 2026
India
Oracle Labs PGX
Research Intern
July 1, 2024 – October 1, 2024
India
AutoNoSQL: ML-Driven Query Optimizer for MongoDB and Cassandra
June 29, 2026 – Present
Designed and built a tool that automatically analyzes database queries and recommends fixes for slow ones. A trained classifier predicts query quality upfront and only triggers LLM when optimization is needed - cutting expensive AI processing roughly in half.
Loan Approval Prediction Pipeline
June 29, 2026 – Present
Built an end-to-end ML pipeline streaming loan data through Kafka and MongoDB into a distributed Spark training workflow. Trained and benchmarked three classification models, automating best-model selection and delivering segmented risk insights to Power BI dashboards.
Multi-tenancy & Workflows
Unknown
June 1, 2026 – Present
AI Workflow Masterclasses
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI & Big Data, coupled with practical experience at Oracle Labs and Oracle APEX Core, shows a strong commitment to the AI/ML domain. Their involvement in diverse projects, from query optimization to conversational assistants and CV-to-job matching, indicates adaptability and a broad interest in applying AI to various business problems. The certifications and publications further highlight a drive for continuous learning and contribution to the technical community. The blend of academic research and industry application suggests a well-rounded individual who can bridge theoretical knowledge with practical implementation.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in optimizing AI retrieval and designing efficient data pipelines. Their experience in delivering masterclasses and authoring technical content suggests good communication and knowledge-sharing abilities. The project descriptions indicate a proactive approach to identifying and solving complex technical challenges, which is crucial for a senior role. The candidate's work at Oracle, a large enterprise, suggests an ability to operate within structured environments and contribute to production systems.