Ivo – Flask, Python, SQL

The project was about containerizing a set of existing financial web apps. As the volume of business of the customer grew, they wanted:

• to run application logic in containers, allowing for load balancing the incoming requests
• to have some of their quality checks, etc automated via GitHub Actions
• move their data from SQLite to Postgres

Ivo did the necessary research and implemented an option that allows for more scalability, without deviating too much from their original approach.

A mobile application for all things amateur football in Germany. Users are amateur team players and fans. They have access to full information on teams, matches, competitions, players, etc. The app also has extensive community features. It provides a unique feature of maintaining market value estimation for amateur players.

• Performed performance optimizations of endpoints (Python code and Postgres queries performance optimization);
• Refactored existing features (e.g., introducing a message queue as a transport mechanism, etc.);
• Developed backend API features, including automated tests for them.

It is a toolbox for the modern CTO. It contains a number of tools that cover different kinds of financial analyses - some for decision-making-related evaluations, some for regulative and compliance purposes, etc. The web-based system allows for registration, upload of all relevant raw data, configuration, and execution of the analyses.

Responsibilities:

• Worked with system architecture & design;
• Worked with back-end;
• Created UI templates;
• Deployed source code, dependencies, and DB migration on Digital Ocean.

The product handles ticketing for public transport (both ground and underground) in the capital city of a European country. Different kinds of tickets and cards, incl. Green and White tickets (free tickets when pollution exceeds certain thresholds, etc, etc) are supported, as well as different payment methods, private and corporate customers, etc.

• Was responsible for the authentication/authorization functionality;
• Created a custom token scheme based on the custom authentication model that Django provides;
• Developed a comprehensive suite of end-to-end automated tests (in Bash script).

Financial modeling for different purposes, e.g. business planning, investment evaluation, etc. Note: the project went On Hold in its early phases - soon after the Proof-of-Concept complete milestone.

Ivo was responsible for the system architecture, design, and all back-end work + skeleton of the UI.

REES is a system for collecting, processing, and analyzing real estate price data. Analyses serve the real estate portfolio evaluation and re-evaluation purposes of banks.

Responsibilities:

• Worked with System architecture and design;
• Worked with back-end;
• Developed chrome extensions;
• Deployed source code, dependencies, and DB migrations on Digital Ocean.

It is a system for encrypting only sensitive data (as per GDPR) contained within Microsoft Office and Google documents. Different organizations register to the system and add their users.

Responsibilities:

• Worked with system architecture & design;
• Worked with back-end using Python.

Enterprise-class digital assets management system.

Ivo was responsible for migrating the project from monolithic to micro-services-based architecture.

It is a billing system for utility companies. Initially developed for natural gas supplies, it later covered also electricity and water supply.

Responsibilities:

• Made certain functionalities, e.g. the file import process configurable during run-time;
• Refactored specific business processes into configurable, more generic mechanisms;
• Developed the notifications module of the system.

The project was about creating a common partner's management instrument for a large multinational company. It was built over SAP infrastructure.

• Analyzed data migration problems and omissions across data marts and geographies;
• Created ad-hoc scripts using shell/SQL in order to discover many different problems and omissions before they reached customer support.