MEGUEBLI YOSRA

MEGUEBLI YOSRA

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AI & Systems Engineer | C Expert | ML Models | Al Pipelines | PhD Candidate in Deep Learning
Tataouine, Tataouine Governorate, Tunisia
Contact MEGUEBLI regarding: 
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Full-time jobs
Starting at USD25/hour
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Starting at USD100/month
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Résumé

Jobs verified_user 0% verified
  • C
    AI Engineer
    Confidential FinTech Startup
    Jan 2026 - Current (5 months)
    • Designed a 4-module document processing pipeline: OCR → classification → compliance validation → ERP integration • Achieved 99.7% classification accuracy across 4 Tunisian document classes (313-document test set) • Structured 24 document types into a 263-field JSON schema for automated extraction • Built async processing architecture using Django REST, Celery, and Redis • Mentored 2 junior engineers
  • E
    C Programming Instructor & Technical Supervisor
    ESPRIT - Leading CS School
    Jan 2020 - Sep 2024 (4 years 9 months)
    • Supervised 100+ students across multiple cohorts in building complete 2D games in C from scratch • Conducted weekly code reviews and debugging sessions focused on memory management and performance • Taught low-level programming, data structures, and algorithmic complexity from first principles
Education verified_user 0% verified
  • E
    PhD Candidate - Deep Learning
    ENET'COM
    Jan 2021 - Jan 2024 (3 years 1 month)
    Accident Detection
  • E
    Master's - Computer Science
    ENSIT
    Jan 2020
    Handwritten Mathematical Formula Recognition Mention Bien
  • E
    Bachelor's - Computer Science
    ESSTT
    Jan 2010
Projects (professional or personal) verified_user 0% verified
  • g
    MultiAgent Platform v6
    github.comYosra-Megblimultiagent-platform-v6
    Jan 2026
    • Designed and implemented a multi-agent orchestration system using LangGraph (parallel agents → aggregator → decision layer) • RAG memory via pgvector and sentence-transformers • Async task processing with Celery and Redis (routing, circuit breakers, DLQ) • Multi-tenant RBAC, audit logs, and confidence-based HITL • FastAPI + PostgreSQL + Groq (Llama 3.3 70B) Docker Compose
  • g
    DocClassify AI
    github.comYosra-MegbliCNN-Fastapi-ERPnext
    Jan 2025
    • Built a document classification pipeline combining ResNet50 and EasyOCR with TF-IDF fusion • Achieved 85-92% accuracy across 4 document classes (~2-3s per document) • FastAPI backend with JWT authentication and ERPNext integration SHA-256 deduplication
  • E
    Phd student
    Enet com
    Jan 2021 - Sep 2024 (3 years 9 months)
    Phd student deep learning
Publications verified_user 0% verified
  • D
    Deep Learning Architecture for Offline Recognition of Handwritten Math Symbols
    Jan 2020