Chingiz Shadiev

Provided ongoing maintenance and technical consulting for previous clients, supporting system reliability and advising on architecture decisions. Developed personal projects specializing in agentic AI, LangChain/LangGraph workflows, and RAG architectures.

Built and shipped a unified portfolio management platform replacing manual investment workflows for the firm's HNW client operations. Designed and implemented Python/FastAPI backend with MongoDB, integrated broker APIs, and built a React/TypeScript web portal with role-based access controls and automated reporting.

Built IT solutions for a reinforced concrete plant, including production tracking, defect monitoring, and employee efficiency dashboards, increasing output by 10% and reducing defects by 7%. Designed a centralized task-tracking system for the design department and automated construction quality assessment workflows, cutting process time by 20%.

Automated production and financial reporting for senior management, reducing reporting time by 75%. Integrated data across two ERP systems, eliminating duplicate purchase orders and accelerating procurement by 20%.

Developed interactive financial forecasting models for product selection and creditworthiness assessment.

IBM RAG & Agentic AI Professional certification, an 8-course specialization completed in January 2026.

Grade: 866/1000

AWS Certified Developer – Associate certification with a score of 866/1000, completed in November 2025.

Completed the RabbitMQ Training Course in May 2024.

Grade: Passed

Passed the CFA Level I examination in December 2016.

Grade: Merit

MSc in Banking and Finance with Merit from Bangor University, Wales, UK, from 2015 to 2016.

Grade: Honours

BA in Business Administration with Honours from the University of Westminster, London, UK, from 2011 to 2014.