Chaima Ismail
I’m Chaima Ismail, an AI/Machine Learning Engineer focused on building production-ready systems with LLMs, RAG architectures, and predictive/time-series models.
About
I’m Chaima Ismail, an AI/Machine Learning Engineer focused on building production-ready systems with LLMs, RAG architectures, and predictive/time-series models. I enjoy turning complex data problems into reliable APIs and end-to-end applications, from model design and evaluation to deployment with robust interfaces for real users.
I’ve delivered multiple solutions in less than 12 months, including an on-premises RAG conversational assistant for business processes and a forecasting/dispatching layer used daily by operations teams. My approach blends deep learning, explainable AI, and practical engineering (FastAPI, Docker, MySQL, and full-stack apps) to deliver measurable value while respecting constraints like cloud-free environments and sensitive data.
- 3 years' experience
- Joined October 2026
Languages
- FrenchAdvanced
- EnglishAdvanced
- ArabicFluent
Industry experience
- Software & Internet
- Government
- Professional Services
Work experience· 6 roles
Developed a daily volume forecasting engine for France Work to replace manual estimates using projections by client, activity, and site. Implemented predictive dispatching support in a multi-site calendar used daily by operations teams. Built LynxAI, an on-premises RAG conversational assistant using Ollama, FastAPI, EasyOCR, and MySQL, designed for cloud-free operation and to avoid data exits for sensitive business processes. Also designed a full-stack HR planning application using Go, Vue.js 3, and MySQL.
Designed CoPERec, an explainable recommendation system combining Top-K prediction with LLM-generated natural language explanations. Fine-tuned LLaMA-2-7B-Chat using QLoRA and benchmarked against Mistral-7B across multiple prompt strategies, surpassing ML/DL baselines. Validated explanation quality using BLUE/RED metrics and human evaluation.
Developed a web and mobile platform connecting candidates and recruiters using Node.js and MongoDB as part of a full-stack internship.
Education
Certifications and awards
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