Senior Data Scientist @ Saman Electronic Payment | Machine Learning & Generative AI | AI Agents & RA

• Architected a multi-agent AI framework with an orchestration layer that coordinates specialized reporting agents to automate business report creation and enabling fully intelligent data-based AI assistant.
• Designing and implementing a high-availability architecture for multi-agent AI applications across two application servers, leveraging Docker for containerized deployment, service isolation, and agent lifecycle management.
• Reduced internal report team workload by 70% by developing an automated web-based reporting system using LangChain + Flask.
• Optimized fraud detection rule sets to meet updated regulatory standards.
• Configured a dedicated LLM inference server using vLLM to serve language models, enabling distributed AI agents to access centralized model inference services.

• Increased data accessibility and decision-making quality by building an intelligent LLM-driven reporting service connected to the company Data Warehouse.
• Achieving first place in developing full anti-fraud and anti-money laundering compliance with regulatory laws between PSP companies in Iran.
• Developed a machine learning pipeline leveraging a local LLM model and LangChain, enabling enhanced visitor support for emergency maintenance tasks, reducing model implementation time by 50%.
Responsibilities & Contributions:
• Designed and deployed ML models improving predictive accuracy across business workflows.
• Mentored junior data scientists in Python, SQL, and ML best practices.

• Achieved 80% fraud case reduction through supervised and unsupervised ML methods.
• Increased POS deployment in high-transaction shops by 7%, improving market penetration.
• Identified nearly 200 profitable customers per month with a churn prediction model.
• Reduced emergency maintenance roll tickets by 75% using predictive modeling.
• Improved ETL pipeline performance by 25% via PySpark and SQL optimization.
• Supported segmentation strategies leading to onboarding 5,000+ new merchants.
• Built and enforced analytical KPIs using SSAS Multidimensional models for Power BI dashboards.

• Increased online revenue by through a new website and SEO strategy.
• Built automated crawlers for competitive pricing analysis, doubling pricing team efficiency.
• Managed cross-functional teams.

I developed and maintained more than 15 websites for small businesses and individual clients.

I delivered web development services across multiple client projects, building practical experience in website implementation and maintenance.