
Dynamic software engineer specializing in backend and systems engineering, with a proven track record in developing scalable backend logic, RESTful APIs, and structured databases. Expertise in enhancing operational efficiency, data accuracy, and system reliability through advanced validation controls, SQL optimization, and workflow automation. Achieved a 35% improvement in operational efficiency and a 92% reduction in data entry errors in the logistics sector through optimized queries and data architecture. Strong familiarity with data governance and IT frameworks such as COBIT, ITIL 4, and NDMO ensures the delivery of high-performance software solutions that are maintainable, compliant, and aligned with enterprise standards.
Development of response automation algorithms:
engineered an automated chatbot system based on key search algorithms and established databases. This automated responses to popular admission and registration inquiries by 100% (automatically) and drastically reduced manual workload.
AI Systems Engineer | LLM & RAG Specialist
• Built hybrid RAG pipeline (vector, BM25 , Cross-Encoder) to improve retrieval precision
• Implemented multi-model inference using Mistral and LLaMA3 for optimized response generation
• Reduced hallucination rates from ~50% to near-zero via deterministic filtering and context control
• Designed performance evaluation metrics (latency, hallucination rate, context usage)
• Developed backend oriented AI systems with focus on scalability and efficiency
Atelier Enchanté, Governance-Driven Personal Web Platform
• Designed and developed a web platform aligned with NDMO data governance principles.
• Defined functional and non-functional requirements including performance, scalability, and security.
• Implemented structured and unstructured data storage strategies based on system requirements.
• Applied performance testing to evaluate responsiveness and stability under load.
• Followed Agile methodology to iteratively deliver features and improvements.