Ismail Kchibal
Software & Intelligent Systems Engineering Student | Master 2 DOSI
+33 7 46 72 39 07
kchibal.ismail@gmail.com
Brest, France
Seeking a 6-month end-of-studies internship (PFE) in France, starting April 2027
A software & intelligent systems engineering student (FST Tangier) in a dual degree with the Master 2 DOSI at UBO Brest, I design Full-Stack Java/Angular applications and AWS Cloud architectures that integrate AI. I am seeking a 6-month end-of-studies internship in France, starting April 2027.
Dual degree: State Engineer LSI & Master's 2 DOSI
Dual-degree engineering student (State Engineer LSI at FST Tangier and Master's 2 DOSI at UBO Brest), specialized in Full-Stack development, Cloud architectures (AWS/GCP) and AI/data engineering (LLM, RAG, ML).
At NTT DATA, I worked on Full-Stack development of the KAFAAT HR platform (~550 employees) with Spring Boot 3, Angular 17 and PostgreSQL, and resolved an N+1 bottleneck, cutting response time from 35s to <1s.
At facejob.ma, I deployed containerized AWS infrastructure (CDK, ECS Fargate, CI/CD) and integrated FastAPI AI microservices (Whisper, LLM), cutting screening time by 10x and latency from 40s to <400ms.
Location
Brest, France
Availability
PFE internship, April 2027 (6 months)
Mobility
Nationwide mobility, remote or on-site
Languages
Arabic (native), French (fluent), English (fluent)
Full-Stack development with Spring Boot 3, Angular 17 and PostgreSQL: RBAC/MFA-TOTP security and resolution of an N+1 bottleneck (response time from 35s to <1s).
Experience: NTT DATA · KAFAAT
Deployment of containerized AWS infrastructure (CDK, ECS Fargate, CI/CD) for a video-recruitment SaaS platform (~$250/month saved).
Experience: facejob.ma
Integration of FastAPI AI microservices (Whisper, LLM): screening time cut by 10x and latency from 40s to <400ms. In an academic project, an intelligent DBA assistant based on an LLM (RAG) with ChromaDB.
Experience: facejob.ma · Project: Oracle AI Platform
Stack: Spring Boot 3 · Angular 17 · PostgreSQL · Git
Stack: AWS CDK · ECS Fargate · CI/CD · FastAPI · Whisper · LLM
Stack: Unity · C# · React · Firebase
Stack: Laravel · MySQL · Git/GitHub
Source code not public: these projects are confidential. I am happy to walk through them in an interview.
Academic decentralized rental project (Blockchain & Cloud), built by a team of 5.
My role: Cloud Engineer: designed and deployed a scalable microservices infrastructure on AWS (EKS), container orchestration and full CI/CD pipeline automation.
Result: Infrastructure deployed and tested under real conditions.
Academic project for an intelligent DBA assistant, based on an LLM (RAG).
My role: DBA: modeled expert DBA processes (security audits, query optimization, syntax analysis, log management) to power the AI engine.
Result: Tested on real data; automated detection of query anomalies and optimization recommendations.
Academic project for an ML pipeline and LLM agents applied to e-commerce products.
Key work: A2A agents for distributed scraping (~4,000-5,000 products) and ML lifecycle orchestration via Kubeflow pipelines; multidimensional Top-K scoring and LLM-based data enrichment (summaries, sentiment analysis).
Result: Classification results judged very satisfactory on the tested dataset.
Vice President of the IT GEEKS Club (2025 to present)
For an end-of-studies internship (PFE) opportunity starting April 2027, write to me using this form or by email.
