Damir Imangulov

Simplify metrology programming, reporting, and monitoring.
The Autonomous Metrology Suite serves as the new centre of smart quality workflows, accelerating data-driven metrology to improve quality assurance and enable better manufacturing.

This project involved the architectural design and development of a highly decoupled tax calculation solution designed to handle regional complexity through a "Headless CMS" approach. Rather than relying on hardcoded logic, the engine utilizes metadata-driven workflows, allowing tax rules, regional exemptions, and calculation parameters to be updated dynamically without redeploying the core service. This architecture ensures the system remains agile in the face of ever-changing global tax regulations.

A solution for KPMG member groups to provide/sell services to businesses of different size. The solution consists of many different services like: public portal, order management, identity management etc.

Project: FHIR-Integrated Personal Health Record (PHR) Platform

This project involved the end-to-end development of a secure, interoperable mobile platform designed to give patients full sovereignty over their medical history. Built with Flutter and following Material Design principles, the application provides a high-performance, cross-platform experience that simplifies the management of complex health data. The core innovation lies in its adherence to the HL7 FHIR standard, ensuring seamless data exchange with existing Electronic Health Record (EHR) systems through Azure Health Data Services (Azure FHIR).

Telegram bot for the ETH-network to monitor LP positions in PancakeSwap via smart contracts.

Key features:
• Free access
• Notification about position changes
• Automatic monitoring for new positions

I built a multi-tenant system for beauty salons. The main goal of the system was to store client information and provide integration with Bluetooth and wired scales.

Components:
• Identity management solution: based on Identity Server
• REST API (Legacy, V2, Machine 2 machine)
• Customer portal: an Angular single-page application (SPA)
• On-boarding portal: an Angular single-page application (SPA)
• Windows station: WPF
• Mobile stations with offline capabilities (Xamarin.Forms)
• AWS Elastic Beanstalk, Cognito, Quicksight

This is enterprise asset management (EAM) software that provides managers with a way to view company-owned assets holistically. The goal is to enable managers to control and proactively optimize operations for quality and efficiency.

The system is a set of data constructors and business processes. The domain model consists of more than 200 classes. The system is deployed by more than 20 servers under the load balancer.

This is a bank client for legal entities with the possibility of signing legally significant documents.

This is a back office system that's only for internal usage.

This is a high-performance, cloud-native Electronic Document Management System (EDMS) engineered for enterprise-grade scalability and security. Built on a resilient .NET Core and orchestrated via AKS, the platform transforms static documentation into a dynamic, searchable asset. It integrates advanced workflow automation with rigorous compliance standards, ensuring that complex data across healthcare, banking, and manufacturing remains secure, accessible, and audit-ready.

This is an electronic document management system with 15,000 users. It was created for Kazakhstan railways.

I supported and developed a system of automation of the restaurant business called BizON—which involved communication with clients and analyzing the needs of customers. That's been the start of my career, where I learned a lot about technology and developed my soft skills.

I designed and built an interactive AI-powered digital twin CV, a full-stack application where a WebRTC avatar answers questions about my professional background in real time. The system uses a RAG pipeline over a structured CV knowledge base, streamed LLM responses, and per-session LiveAvatar WebRTC integration for avatar speech synthesis.

Architecture: FastAPI back end with LangChain LCEL, Azure OpenAI (gpt-4o-mini + text-embedding-3-small), Qdrant vector store, continuous Web Speech API for voice input, Next.js 16/React 19 front end with streaming SSE, per-user session isolation with eviction background task.
Technologies: Python, FastAPI, LangChain, Azure OpenAI, Qdrant, Next.js, React, TypeScript, Tailwind CSS, LiveKit, WebRTC, Docker, Azure Container Apps, Terraform, Bicep

GitHub: https://github.com/dimangulov/AICV

This project aims to revolutionize the wholesale insurance lifecycle by replacing manual touchpoints with a coordinated ecosystem of AI Agentic Avatars. Designed to automate the end-to-end journey, the system deploys specialized AI personas to handle sequential roles—from initial client intake to complex, data-driven underwriting.

By leveraging Python, Claude, and the GSD SDLC framework, we are building an autonomous pipeline that generates instant, accurate quotes without human intervention. Currently in the MVP phase, the focus is on perfecting the hand-off logic between multiple AI agents to validate market viability and streamline operational efficiency.