Email • LinkedIn • Portfolio • GitHub
- Engineer building LLM/RAG systems and AI agents for intelligent retrieval & document workflows.
- Practical experience across ML pipelines, ETL (SSIS), Power BI, and clean backend APIs with Spring Boot.
- Obsessed with reliability (evals, monitoring) and performance (indexing, caching, prompt strategy).
Current focus: productionizing GenAI (RAG quality, tool-use agents, eval harnesses, latency/throughput).
Core: LLMs (GPT, Claude), RAG, LangChain, Transformers, scikit-learn, TensorFlow
Data: SQL, SSIS/SSAS, Power BI, Tableau, DAX, Pandas, NumPy
Backend: Java, Spring Boot, Python, REST APIs, Swagger/Postman
DevOps: Docker, GitHub Actions, CI/CD • Databases: SQL Server, MySQL, vector DBs
- AI-Powered Debugging Assistant — LLM-driven assistant for hybrid C/Python workflows; improved resolution time and adoption.
- Marvel AI Components — Architected LLM + RAG modules and LangChain agents for knowledge retrieval & doc processing.
- ML Systems — Supervised models (Naive Bayes, RF, SVM), feature engineering, GridSearchCV, cross-validation.
- Query Optimization — Strategic indexing + SQL tuning → faster business reports & compliance analytics.
More on my portfolio: https://portoflio-moamr.vercel.app/
Email: mohamedamrfarouq@gmail.com • LinkedIn: https://www.linkedin.com/in/mohameddamrr • Portfolio: https://portoflio-moamr.vercel.app/