Ignas Gustainis

Built an analysis platform which would ingest a broad range of blockchain transactions and delve deep into the inner workings of transactions, processing complex trades no matter what platform they were happening on, looking for potentially profitable information, and handling reporting of any findings to analysts.
Stack: Python 3, Web3.py, Pandas, AWS

Led a project to generate profits from the massive short-term uptick in transaction volume happening in the biggest NFT markets. The bot would automatically scan and analyze transactions happening in real time and without user interference execute profitable trades as opportunities arise.
Stack: Python 3, Web3.py, Node.JS, Redis, Websockets

As an active member and volunteer of a blockchain society in my city, I created material for and led technical workshops about emerging blockchain technology for other developers. The workshops involved Solidity programming and overviews of new technologies appearing in the field, such as IBM Hyperledger and others.

I was asked to upgrade a repository of 240.000 Python 2 and Django lines to Python 3 with as few disruptions as possible. Over 20 developers worked actively on this codebase, so the upgrade had to take that into account as new, not necessarily compatible, code was being pushed very frequently.

I set up a plan involving:
• Implementation of CI tools checking new code to be Python 3 compatible.
• CI procedures to run the test suite on Python 2 and 3 to measure progress.
• Education of current developers on Python 3 practices.
• Gradual additions of compatibility code to codebase applications.
• A complete manual and automated testing of the entire system.
• A switchover and, finally, removal of compatibility code.

Finally, we successfully executed the plan and finished the project with zero production downtime within two months from the initial plan setup.