نبذة عني
AI and computer science student at IE University with experience in AI engineering, lab fellowships, and technical projects involving REST APIs, RAG pipelines, text-to-SQL agents, and LLM observability. Skilled in Python…
AI and computer science student at IE University with experience in AI engineering, lab fellowships, and technical projects involving REST APIs, RAG pipelines, text-to-SQL agents, and LLM observability. Skilled in Python, JavaScript, SQL, FastAPI, LangChain, LangGraph, MongoDB, Supabase, Qdrant, Chroma, PostgreSQL, Git, Bash, and GitHub Actions.
الخبرة
AI Lab Fellow
Selected to build innovative AI products within IE AI Lab alongside MongoDB engineers. Architected 10+ REST APIs for anomaly detection, handling 100+ req/min with LangGraph + MongoDB. Built fault-tolerant streaming pipelines with Redis Streams + DLQ, cutting failed job retries by 40%. Implemented E2E observability using OTel, Prometheus, and Grafana, reducing debugging time by 30%. Authored LangSmith tracing, DeepEval metrics and 50+ integration tests automated via GitHub Actions.
AI Engineer Intern
Developed text-to-SQL agents using LlamaIndex and SQLAlchemy hitting a 95% stakeholder satisfaction rate. Created a multi-pass extraction pipeline via Mistral OCR + OpenAI with 90%+ accuracy for legal documents. Engineered backend logic using Supabase Row Level Security and deployed scalable Edge Functions. Designed a Hybrid RAG pipeline with PostgreSQL(tsvector + pgvector) to yield 97% precision. Implemented LangFuse tracing pipelines in production LLM apps to reduce model debugging by 40%. Built resilient scraping infrastructure using Playwright and BeautifulSoup across 60+ dynamic sites.
Tech Lab Fellow
Architected event-driven workflows via n8n to automate and streamline CRM customer inquiry processing. Developed the vector storage layer using OpenAI and Qdrant to optimize semantic lookups for RAG.