Freelancer profile translated to English.
Back to original languageAbout Nasrallah
GenAI & Data Analytics Engineer with 2 years of experience,
I design and automate end-to-end data pipelines (ingestion, transformation, quality, automation), while developing business dashboards and KPIs for performance monitoring. I also integrate and deploy GenAI & LLMs solutions (chatbots, RAG, fine-tuning, automation) and create REST AI APIs for direct integration into production environments.
━━━ 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 ━━━
• Languages & Programming : Python (Pandas, NumPy, Scikit-learn), SQL, R, VBA
• Orchestration & Data Engineering : dbt, Airbyte, CI/CD (GitLab, Azure DevOps, GitHub Actions)
• Cloud & Data Platforms : GCP (Vertex AI, BigQuery, GCS, CloudSQL), Snowflake, Azure (Data Factory, Synapse, Data Lake, Databricks), AWS (Redshift, S3, Lambda, SageMaker)
• APIs & Deployment : FastAPI, REST APIs, Docker, Kubernetes, Cloud Run
• LLMs & GenAI : Deployment, Fine-tuning, Chatbots, RAG, Prompt Engineering
• Vector Databases : Pinecone, Weaviate, Qdrant, FAISS
• BI & Visualization : Power BI, Looker, MicroStrategy, Streamlit
French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Opteamis | Startup French Tech 120GenAI & Data Analytics EngineerSOFTWARE PUBLISHINGMarch 2025 - Today (1 year and 3 months)Paris, France• Automated ingestion of over 300 tables from production to the BigQuery/GCS data lake via Airbyte.• Development of the AI search engine "Talent Search", enabling the retrieval of the best-scored profiles from the internal database against a tender, with analysis of strengths/weaknesses and daily rate benchmarks against similar profiles.• Design of an LLM-based CV Parser, more accurate than standard ATS and fully automated.• Development of a ChatGPT-like interface on MCP, integrating over 170 tools to orchestrate internal APIs and automate a wide range of business processes (needs, client assignments, revenue/margin analysis, etc.).• Development of an AI profile-job matching system (200k CVs, 10k offers) based on Qwen-3 embeddings, replacing a SaaS solution at €12k/month with an internal infrastructure for less than €1k/year.• Design of an automated Sourcer Agent for multi-platform sourcing (LinkedIn, Turnover, etc.), parsing and scoring into a vector database to significantly accelerate staffing.• Design of a centralized AI API (Talent Search, RatePricer, Matchmaker, Parsing), developed in FastAPI, Dockerized and deployed on Cloud Run with GitLab CI/CD, supporting a multi-tenant architecture.• Creation of business datamarts (Sales, Marketing, Office) and support for strategic clients.• Led workshops with management members to structure over 50 KPIs and define a coherent and shared semantic layer.• Design of the "RatePricer" AI model for freelance daily rate prediction, with 80% accuracy, using Qwen-3 embeddings combined with CatBoost/LightGBM and dimensionality reduction via PCA.• Implementation of an OCR solution based on GCP's Document AI and Vision AI to automatically extract data from identity documents and registration documents (Kbis, etc.), marketed to our clients.
- CHU MetzGenAI & Data Analytics EngineerMEDICALSeptember 2024 - February 2025 (5 months)Paris, France• Worked directly with the Head of Data on target architecture, business needs, and Data/AI priorities.• Cloud & Governance: GCP tenant configuration, IAM management, role definition, and MFA implementation.• Azure Data Factory & Fabric: Deployment of ADF and configuration of Microsoft Fabric, enabling Power BI Copilot activation and natural language dashboard creation.• AI & Vectorization: Implementation of a Qdrant vector database to organize, index, and query business data in natural language.• Internal Chatbot: Design of a ChatGPT-like chatbot based on OpenAI embeddings for semantic data exploration.
- MAIF AssuranceData Analytics EngineerBANKING AND INSURANCESeptember 2024 - February 2025 (5 months)Paris, France• Automation of the quarterly data integration and cleaning process using VBA macros, enabling the processing of data from the Automotive, Construction, and General Insurance sectors.• Centralization and creation of a harmonized dataset facilitating comparisons between quarters and the analysis of over 40 technical indicators.• Design of a Power BI dashboard consolidating essential metrics by sector and network, to track the evolution of provisions and technical results.
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Education
- Master ERDSUniversity of Bordeaux2024Master ERDS
- Engineering degree in Image and Signal ProcessingENSEIRB MATMECA2024Diplôme d'ingénieur en traitement d'images et de signal
Certifications
- End-to-End LLMs Fine-Tuning with Hugging Face TransformersHugging Face2025
