I'm Ahmed Doghri, a Senior AI Engineer with 7+ years of experience building LLM-powered AI systems, NLP pipelines, and data-driven solutions. My expertise spans machine learning, large-scale data engineering, and cloud-based AI deployment. 🚀
- LLM Workflow Orchestration: Building and optimizing multi-agent LLM workflows for automation.
- Retrieval-Augmented Generation (RAG) Systems: Enhancing document intelligence with search & extraction models.
- Cloud & MLOps: Optimizing GCP, AWS, and Kubernetes for large-scale AI deployments.
- Deep Learning & NLP Research: Working on transformers, embeddings, and model fine-tuning.
- Real-Time Data Processing: Scaling streaming pipelines with Kafka, Spark, and Flink.
👨💻 Tech Stack Mastery: Where I Spend My Time
Python █████████████████████████░ 95%
SQL ███████████████████████░░░ 90%
R ██████████████████░░░░░░░░ 75%
TypeScript ██████████████░░░░░░░░░░░░ 65%
HTML & CSS ████████████░░░░░░░░░░░░░░ 60%| Project | Description |
|---|---|
| LLM-Powered Regulatory Submission | Automated FDA submission process using 7+ LLM pipelines, reducing errors by 60%. |
| AI-Driven RAG System | Built an NLP-powered retrieval-augmented generation system for pharmaceutical documents. |
| Streaming Data Platform | Engineered a real-time event-driven ML pipeline using Kafka, Spark, and Flink. |
| Biomedical Text Enrichment | Leveraged transformer models to enhance research papers with biomedical insights. |
🚀 Always excited to collaborate on cutting-edge AI projects! Feel free to connect. ✨