I'm an AI Engineer, Data Scientist and Fullstack Developer with 10+ years of experience designing and deploying production-grade intelligent systems at scale. I specialize in cutting-edge AI technologies that drive real business impact:

🤖 Agentic AI & Autonomous Workflows

• Building autonomous AI agents capable of multi-step reasoning and complex task orchestration

• Designing structured reasoning frameworks for root-cause analysis and problem-solving

• Developing retrieval-augmented agentic workflows with external tool integration

💬 Large Language Models (LLMs) & NLP

• Fine-tuning GPT, LLaMA, and custom transformer models for domain-specific applications

• Implementing RAG (Retrieval-Augmented Generation) architectures with hybrid retrieval strategies

• Building Natural-Language-to-SQL agents and conversational AI systems

• Advanced prompt engineering and model optimization techniques

🔍 Enterprise RAG & Knowledge Systems

• Creating enterprise-grade knowledge engines with hybrid retrieval (semantic + keyword)

• Implementing re-ranking pipelines for improved relevance and accuracy

• Building production RAG systems for organizational knowledge management

📊 Production ML & MLOps

• End-to-end ML pipeline development from data ingestion to model deployment

• Scalable recommendation systems for large-scale e-commerce platforms

• Real-time inference systems with optimized performance and latency

Data Scientist at Daria Hamrah Paytakht (Jul 2024 – Present)

Leading AI initiatives and building production systems that serve enterprise customers:

🧠 Agentic AI Workflows

• Developed autonomous AI agents capable of performing multi-step root-cause analysis on customer complaints through structured reasoning and retrieval orchestration

• Built agents that autonomously navigate complex decision trees and generate actionable insights

💬 LLM-Powered Intelligence Systems

• Built autonomous Natural-Language-to-SQL agent capable of understanding Persian queries, generating validated SQL commands, executing on Postgres, and producing automated analysis with visualizations through an end-to-end LLM-driven workflow

• Developed LLM-powered call-center intelligence pipeline integrating speech-to-text transcription, entity extraction, and automated agent-performance scoring—substantially improving insight coverage and quality-control effectiveness

• Integrated LLM agents into analytics dashboards, enabling conversational insights, automated reporting, and interactive data exploration

🔍 Enterprise RAG Knowledge Engine

• Created enterprise RAG knowledge engine using hybrid retrieval (semantic + keyword) and advanced re-ranking to enable accurate, context-grounded responses and improved access to organizational knowledge

• Implemented retrieval pipelines optimized for accuracy and relevance in production environments

📈 Production ML Systems

• Built large-scale hybrid recommender system (content-based + collaborative) enhanced with RFM-based personalization to deliver precise and real-time user targeting

• Designed aspect-based sentiment analysis framework to surface issue-level signals across device models, directly supporting after-sales strategy and product optimization

🎤 Multimodal AI Capabilities

• Added production-grade STT and TTS capabilities for automated report narration, customer-support voice responses, and enhanced call-center automation pipelines