Multi-Agent Systems with LangGraph
Validated proficiency in designing stateful multi-agent graphs, dynamic routing, supervisor models, human-in-the-loop controls, and persistence layers.
Data & AI · Final-Year Computer Engineering Student
Final-year Computer Engineering student at ENIS, seeking a 2027 PFE internship in Data & AI. I build and evaluate multi-agent systems (LangGraph, MCP) and quantitative RAG pipelines (RAGAS), with hands-on deployment experience using Docker, Kafka, and AWS.
Bridging autonomous multi-agent systems, quantitative RAG pipelines, and distributed event microservices
I'm a final-year Computer Engineering Student at the National Engineering School of Sfax (ENIS), currently seeking a 2027 PFE internship in Data & AI. My work focuses on building and evaluating multi-agent systems with LangGraph and MCP, and quantitative RAG pipelines benchmarked with RAGAS. I also bring hands-on experience deploying projects with Docker, Kafka, and AWS.
Designing stateful agent graphs, dynamic supervisor routing, MCP tools, and self-repairing test pipelines.
Building reciprocal rank fusion (BM25 + Dense) retrieval with Qdrant/ChromaDB and scientific evaluation via RAGAS.
Developing asynchronous microservices coordinated via Apache Kafka, parallel consumer groups, and Spring Cloud Gateway.
Architecting serverless AWS telemetry (IoT Core, Lambdas, DynamoDB) and containerized Docker pipelines with CI/CD.
Rigorous preparatory foundation followed by specialized engineering in AI & MLOps
IPEIT (Tunis) — Mathematics, Physics & Computer Science.
National Engineering School of Sfax (ENIS). Specialization in AI, MLOps & Distributed Systems.
Assistance Plus — Built enterprise backend services and automated data validation workflows.
Built AgriMent, an agricultural decision-support platform combining multi-agent AI, regulatory RAG, and satellite data.
Selected projects in multi-agent AI, RAG, cloud systems, and machine learning.
A multi-agent agricultural decision platform for parcel analysis, crop recommendations, satellite monitoring, regulatory guidance, and farm business planning.
A LangGraph workflow that converts user stories into Gherkin, validates scenarios, generates and runs tests, analyzes coverage, and attempts to repair failures.
Finds live job postings, scores CV matches using embeddings and required-skill overlap, verifies cited evidence, and generates career guidance and PDF reports.
A serverless fleet tracker: AWS IoT Core ingests GPS data, Lambda and DynamoDB process locations, WebSockets update the live map, and SNS emails arrival alerts.
An event-ticketing system with Spring Boot services, Kafka workflows, MySQL persistence, a Spring Cloud Gateway, and a lightweight frontend.
An end-to-end ML pipeline on 4,372 customer profiles, with XGBoost churn prediction, K-Means and DBSCAN segmentation, and a Flask analytics API.
A private conversational RAG assistant for complex PDFs, using ChromaDB and local Ollama inference with optional web retrieval.
In development: an AI agent that monitors KPIs, flags notable changes, identifies affected products or regions, and drafts a short conclusion for Power BI review.
A distributed intrusion-detection setup using Suricata across three sites, connected through Tailscale and deployed with K3s, with nftables response tooling.
Explore the project and its implementation in the repository.
Official credentials validating competencies in agentic AI, distributed streaming, and software engineering
Validated proficiency in designing stateful multi-agent graphs, dynamic routing, supervisor models, human-in-the-loop controls, and persistence layers.
Validated expertise in event-driven microservices, Kafka broker configuration, consumer groups, parallel fan-out patterns, and topic partitioning.
Advanced proficiency in manual memory management, pointer arithmetic, dynamic data structures, POSIX system calls, and algorithmic optimization.
Certified understanding of Agile software development philosophy, sprint planning, cross-functional team coordination, and backlog grooming.
Feel free to reach out with any questions or opportunities. I’d love to hear about your next project!
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Event
LEADERSHIP & ACHIEVEMENTS
Talan Summer Camp 2026
AgriMent: agricultural decision support with multi-agent AI, regulatory RAG, and satellite data.
Non-Technical Challenge
Awarded 1st place representing IEEE PES Chapter ENIS in a national problem-solving challenge.
TEC.Week 2.0 & 3.0
Won 1st place in national congress competition and managed core logistics.
IEEE PES Chapter ENIS
Directed chapter media strategy, digital publishing, and built the chapter's web presence.
PYFAC 11 Innovation
Organized innovation challenges, ideation workshops, and technical mentorship.
PYFAC 10 Design
Created the event's promotional visual identity, posters, and digital collateral.
regenX 1.0
Led the creative design team, orchestrating brand guidelines and motion assets.
Talan Summer Camp 2026
AgriMent: agricultural decision support with multi-agent AI, regulatory RAG, and satellite data.
Non-Technical Challenge
Awarded 1st place representing IEEE PES Chapter ENIS in a national problem-solving challenge.
TEC.Week 2.0 & 3.0
Won 1st place in national congress competition and managed core logistics.
IEEE PES Chapter ENIS
Directed chapter media strategy, digital publishing, and built the chapter's web presence.
PYFAC 11 Innovation
Organized innovation challenges, ideation workshops, and technical mentorship.
PYFAC 10 Design
Created the event's promotional visual identity, posters, and digital collateral.
regenX 1.0
Led the creative design team, orchestrating brand guidelines and motion assets.