Kiril Chilingarashvili

A large application designed and architected by me. An application was an asset of a fast moving startup in Georgia.
The app’s mission was to collect and process huge amounts of financial data into market symbol financial indicators, composing the symbols into risk-based portfolios, and calculating portfolio financial indicators, allowing the client to "play" with portfolios and provide them with automated "robo" advice for investing in financial instruments. The application was implemented using event sourcing/CQRS and DDD patterns. Integrations with a number of cloud services were made - DocuSign, Salesforce, Google Drive, Azure, and Google.

Created an enterprise-level software application for the largest real estate development company in Georgia. The application is serving three main business domains for a client - development, sales, and rentals. All domain logic is coded in the business layer using Active Record-based business objects. Entity Framework was used for persistence.

Advanced T-SQL optimization techniques were used to create DB storage tables allowing the app to maintain the whole history of all the changes of all the data in the application. History was used to run reports, giving the client the ability to go back in time and see how things were looking like at particular time

Designed and implemented a set of applications serving largest GPS tracker in Georgia.

Vehicle trackers - Application written in .NET micro framework running in FEZ Domino devices which are installed on vehicles and are able to be configurable from a remote server, collect telemetry online and offline, and send to the server when online.

Ingest server - A server able to collect thousands of telemetry events per second, storing it and delivering it to time series log after the ETL cycle.

Client portal - Software written in Silverlight, allowing me to show vehicle positions on a map, configure alerting, notifications, and viewing reports.

Back-end processing server - The server was running custom processing engine written by me to produce "dimensions" - transformed time series from input to output dimensions. Producing new insights like fuel consumption, fuel fill times, trip information, agricultural machinery efficiency, and other.

C#/TSQL/Silverlight/JavaScript was used in the above services

Just a fraction of a second to go through very large collection – it is about 0.1-0.2 seconds per largest search in the country of Georgia.