Summary
Senior Generative AI Engineer with 8+ years of experience architecting production-grade LLM applications, multi-agent systems, and enterprise RAG pipelines. Proven track record designing autonomous workflows for Fortune 500 clients (Sabre, Fiserv), reducing QA cycles by 50% and query latency by 40%.
Actively seeking Senior AI roles in Dubai and Abu Dhabi, available for immediate relocation.
Core Technical Capabilities
- Generative & Agentic AI: LangGraph, LangChain, DeepAgents, Multi-Agent Orchestration, Tool Calling, Structured Outputs
- LLMs & APIs: AzureOpenAI, Google Gemini, Anthropic Claude, Llama
- RAG & Vector Retrieval: Hybrid Search, ChromaDB, FAISS, pgvector, Document Chunking
- Backend & Cloud: Python, FastAPI, Flask, Redis, Docker, CI/CD
- MLOps & Observability: MLflow, WhyLabs, Response Caching, Evaluation & Latency Optimization
Key Achievements
- Agentic Automation Architecture: Modernized legacy LLM call systems into fully autonomous multi-agent pipelines with automated feedback loops, cutting manual effort by 50%.
- Enterprise RAG Optimization: Built semantic search workflows across enterprise data, reducing query latency by 40% while boosting response relevance by 30%.
- High-Throughput Delivery: Designed asynchronous API layers and Redis caching strategies, improving response efficiency and throughput by 30%.