Ivaylo Dimov

An Azure, cloud-based SaaS solution that automates the processes related to the readout and analysis of parameters stored in the aircraft's flight recorder (black box). The system detects flight events that need investigation, prepares detailed flight reports, and provides contextual search capabilities, charts, and risk analysis.

The system uses a highly optimized algorithm to process binary black-box files and extract their flight and parameter values. It also uses a highly customizable and reusable event detection engine across aircraft manufacturers.

Responsible for the system architecture, I led the software development and was involved in the design and implementation of key aspects of the solution:

• highly scalable, serverless based data processing engine based on Azure Functions that supports on-demand horizontal scaling to implement compute-intensive tasks with rare but very high peaks
• messaging infrastructure based on Azure Queues
• powerful declarative event detection engine
• distributed optimistic locking based on Azure Blob leases
• domain model database and API design
• cloud architecture with high availability and durability

I was involved in the business requirements refinement, architecture, and development of tasks and an inventory management system comprising around ten microservices. The system integrates with a couple of other existing methods in the organization and is used by thousands of employees. It was built using the Microsoft stack and Angular for the front end.

Architected and implemented the MVP of a web-based SaaS platform for tracking inventory items via RFID codes. I designed and developed a back-end API that collects tracking information, processes it, and then exposes various API endpoints to show different analyses and reports and manage inventory, users, and more. I also designed and created a web-based Angular and Bootstrap-based single-page application with a responsive design. Finally, I implemented support multitenancy and impersonation of the SaaS provider users. It acts on behalf of different clients at the API and back-end levels.

Digmo is a framework that provides consistent and efficient ways for building different layers and cross-cutting concerns for multitenant, highly scalable, and configurable distributed applications used in a few B2B SaaS solutions. Digmo best fits B2B applications with different types of users, complicated workflows, data analytics, reporting requirements, and consistent UX.

The back end is a set of. NET-based libraries that use serverless computing concepts, messaging, DDD, CQRS, ES, and hypermedia-driven RESTful APIs, exposing metadata and permissions to client applications.

The front end is a set of npm libraries based on Angular that enables rapid development of new features and a consistent UI across the entire application. The UI could be automatically rendered based on the metadata returned from the server while simultaneously allowing a high level of customization.

I am the framework architect and have implemented major parts of the architecture.

An Azure, cloud-based system developed for a client in the security printing business that automates the whole ordering process, from product definition and contract signing to the actual shipment and delivery. I was involved in the system architecture and the front- and back-end development. I collaborated closely with the client, designer, and developers to ensure that the requirements and workflows were accurately reflected on the design screens and in the system's business logic.

A streaming service for the domestic market that could reach more than one million simultaneous users. The existing service had an outdated back end and experienced regular downtimes due to poorly designed back-end logic and caching. My role was to architect and implement a scalable approach to handle this load and at least five times more simultaneous users. The solution was to eventually synchronize the needed data in Elasticsearch and perform querying against Elastic. In some cases, we also took advantage of Redis Cache.

A cloud-based SaaS solution that enables nonprofit organizations to track their progress and manage and organize a project's information throughout its lifecycle.

You can organize, tag, search media content, and collaborate on documents online through Office 365. It is deployed as a multitenant Azure web app that authenticates against the client Azure AD and enables single sign-on with the client Office 365.

It uses ADAL.js to implement an OAuth 2 implicit grant flow in an AngularJS application and authenticated users against the Azure Active Directory.

I developed the front end and the back end of a contact center web app, which utilizes Twilio services and ASP.NET with SignalR to provide a fully-featured web-based support solution with video, chat, and phone communication. The app was built with Angular 6 and Angular Material.

Architected and developed the software for a lotto's server core logic and web APIs for an online lotteries SaaS platform. The lotto server integrates with a back-office solution based on the Microsoft Dynamics CRM, payment, and affiliate systems, as well as the external systems for lottery ticket purchases.

2013 - Microsoft Certification

I co-authored a book on programming with the .NET framework. The ISBN: 954-775-672-9; 978-954-775-672-4 (Volume 2)

I wrote an algorithm and software for the readout aircraft flight data recorders. It was published in 2012 “Science” magazine which is run by the Bulgaria Scientist Union.