Tamam Jerbi

Bis 2025, AI/Data Engineer (Applied LLMs), Phoenix limited
Neukirchen/Erzgeb., Deutschland

Fähigkeiten und Kenntnisse

3D Computer Vision
Agent-based Modeling
Algorithm Design
Algorithm Development
Automated Feature Engineering
biological datasets
Business Process Efficiency
Chatbot Development
Cybersecurity
Data Analysis
Data Integration
data logging
Data Migration
Deep Learning (PyTorch/TensorFlow)
Data Pipelines
Document Analysis
Data Science
Generative AI
Data Validation
Geometric Deep Learning
Graph Neural Networks (GNNs)
International Team Communication
LiDAR/3D Scan
IT Infrastructure Deployment
Kalman Filters
LLM Model Optimization
LangChain
Model Optimization (TensorRT)
Large Language Models (LLM)
MOT Metrics (IDF1, MOTA)
Network Security Implementation
Network Segmentation
Point Cloud
Python Multithreading
Prompt Engineering
PyTorch Geometric-based GCN model
Public-Facing System Optimization
Real-Time Object Tracking
python automation
Real-world Service Systems
Retrieval-Augmented Generation (RAG)
Systems Analysis
Technical Training & Knowledge Transfer
Training and Development (HR)
Vendor Coordination
Windows Server Administration
CSS
Vue.js
HTML
REST
JavaScript
Mlops
Data Integrity

Werdegang

Berufserfahrung von Tamam Jerbi

  • 1 Monat, Aug. 2026 - Aug. 2026

    AI/Data Engineer

    InVIDO GmbH

    - Let data integration and operational analysis by processing cross-referencing 4 million lines of entries across a corpse of nearly 290 proprietary data files spanning 5 months, performing frequency analysis to identify and testify system messages into critical warning and information categories. - formulated the machine telemetry baseline by identifying the initialization block among four operational groups, to uncover an overall equipment effectiveness of 79.98%, up from the initial baseline of 67.12%

  • 2 Jahre, Jan. 2024 - Dez. 2025

    AI/Data Engineer (Applied LLMs)

    Phoenix limited

    - Engineered automated data acquisition and ingestion pipelines to extract, clean and structure high volume text data for downstream RAG vector databases. - Also optimized document chunking, metadata tagging, and Victor and texting using LangChain and Qdrant to ensure accurate semantic retrieval and context relevance.

  • 2 Jahre und 10 Monate, März 2021 - Dez. 2023

    Data Engineer

    In collaboration with Universitätsklinikum Düsseldorf

    - Engineered a modular data pre-processing pipeline for the NRW-funded MODS project, integrating strict verification and validation (V&V) protocols to prepare multiomics metadata for downstream machine learning applications. - Developed and executed automated verification checks and test pipelines to audit data correctness against research specifications, co-authoring an academic manuscript.

  • 5 Jahre und 3 Monate, Jan. 2015 - März 2020

    Software Engineer

    Dr. Yehya Nahas' Internal Medicine Clinic

    Responsibilities: - Analyzing computer information systems and identifying areas for improvement. - Troubleshoot malfunctions with hardware or software, and perform systems checks to ensure that security measures are being followed. - Confer with clinic personnel to determine specific information system needs and making changes to system software or design. - Training new clinic staff on information systems and ensuring that data input and information retrieval are done properly. -Repair the system or commu

  • 2 Jahre und 1 Monat, Jan. 2013 - Jan. 2015

    User Support Technician

    ZAD ISP

    Responsibilities: - Troubleshoot and solve internet, computer and LAN problems. - Determine source of computer problems (hardware, software, user related). - Answer staff and clients questions in person and via phone or email on all company supported applications. - Advise staff and clients on appropriate action. - Perform hardware and software upgrades and installations.

Sprachen

  • Deutsch

    A1-A2 (Grundkenntnisse)

  • Englisch

    C1 (Fließend)

  • Arabisch

    C2 (Verhandlungssicher / Muttersprachlich)

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