Piotr Gęsicki

React-based margin trading app that can be easily deployable on any Cosmos SDK blockchain because of its off-chain processing capabilities and messaging system. The platform has unique concentrated lending and auto-hedging features, making it very appealing to both traders and liquidity lenders. For the latter, the platform can serve as a passive income source.

My role was to lead overall QA and testing efforts in both manual and automated testing. On top of that, I built front-end components in React and TypeScript, as well as back-end features with Node.js and Next.js. I enhanced the product for effective testability by allowing the front-end app to dynamically switch connected blockchain networks.

I led the testing efforts for the Signal Ocean Platform, which provides a series of intuitive dashboards for closely tracking shipping markets.

Functionalities:
• Obtain dynamically generated tonnage and position lists that you can filter, sort, and drill down into to instantly assess tonnage availability around the world.
• Leverage all the information provided by the platform’s algorithms to estimate daily profitability (TCE) for any vessel or scenario.
• Keep track of cargoes that interest you and find the best vessels to match them.
• Calculate distances between vessel positions, ports, or coordinates. Determine voyage duration by adjusting speed, routing points, and SECA and piracy paths.
• Search for any vessel and see information on its specification, commercial voyages, data received, consumptions and more.
• See vessel traffic around major ports and easily estimate port expenses for vessels of interest.
• Review and filter ‘latest and greatest’ fixture reports that have been fused and cross-checked by The Signal Ocean Platform’s algorithms.
• See the emails successfully processed by the platform, as well as a summary of the extracted data (fixtures, positions, and cargoes).

The aim of the project was to create and configure (business-wise) a system from an external vendor (Nasdaq) to help manage non-financial risk within the bank. It helped manage the following: audit log, compliance log, controls, incidents, mitigating actions lifecycle.

In this project, I took on dual roles as both the test manager and test automation architect. I managed the overall testing efforts, coordinated user acceptance testing (UAT), and built the regression test suite from scratch.

At the same time, I developed a behavior-driven development (BDD) UI test framework using Cucumber and Ruby, automating manual regression scenarios to enhance testing efficiency and reliability.

A decentralized exchange app built on top of the Cosmos SDK blockchain allows the effective trading of numerous Cosmos-based native tokens with a number of ERC-20 tokens deposited through a standalone Ethereum bridge. Other app features include liquidity pooling, margin trading, and staking for rewards.

My role was to lead overall E2E testing efforts. I created a test automation framework from scratch with Playwright, implemented automated E2E test scenarios, and built and maintained test plans and regression suites.

The aim of the project was to create a Windows software driver for a new hardware storage device that used top-notch technology (3D X-Point).

My role was to lead overall testing efforts, maintain proper test documentation, and implement automated testing, both functional and non-functional.

Tessent LogicBIST is the industry’s leading built-in self-test solution for testing the digital logic components of integrated circuits. It includes unique features targeted at nanometer SoC designs that reduce test costs and shorten time-to-market while maximizing test quality.

Tessent LogicBIST is a fully hierarchical solution that provides full test portability for cores as well as full test reuse throughout the product lifecycle.

My role in the project involved test execution (both manual and automated), test plan creation, and test automation. I also helped developers improve their own testing processes as part of quality assurance.

Tessent YieldInsight statistically analyzes diagnosis data to identify and separate systematic yield limiters before any failure analysis is done.

Tessent YieldInsight is specialized for understanding and identifying yield loss from scan test data and makes volume diagnosis results actionable. Using specialized data mining and statistical analysis techniques, the product eliminates noise from diagnosis data to determine the underlying root causes, identify systematic yield limiters, and select the best devices for failure analysis. This dramatically accelerates the time to the root cause of yield loss.

My role in the project involved test execution (both manual and automated), test plan creation, and test automation. I also helped developers improve their own testing processes as part of quality assurance.

The project for Nordea consisted of building an internal system to manage risks within the bank when engaging with 3rd parties for specific services.

My role was to manage the overall testing process, maintain proper test documentation, and build the entire regression suite as well as manual testing.