
Worked on the FilOzone/pdp repository to deliver a bitmap-based duplicate prevention mechanism for scheduled piece deletions in Solidity smart contracts. The solution introduced a two-level bitmap data structure, enabling scalable support for unlimited piece IDs while reducing gas costs and improving readability through targeted code refactoring. Addressed a critical issue by preventing duplicate piece IDs in the scheduling process, thereby enhancing data integrity and reliability of the piece lifecycle workflow. Expanded test coverage validated the new bitmap approach, ensuring robust on-chain behavior. The work demonstrated expertise in blockchain development, gas optimization, and testing, resulting in safer and more efficient scheduling.
October 2025 — FilOzone/pdp: Delivered a bitmap-based duplicate prevention mechanism for scheduled piece deletions, with a two-level bitmap to support unlimited piece IDs, and a refactor focused on readability and gas efficiency. Added tests to validate the bitmap approach. Fixed a critical bug that allowed duplicate piece IDs in schedulePieceDeletions, improving data integrity and reliability. Overall, the work reduced gas costs, increased scalability, and strengthened the reliability of the piece lifecycle workflow, delivering measurable business value through safer, faster, and more scalable scheduling. Technologies demonstrated include bitmap-based data structures, two-level indexing, on-chain optimization, and robust testing.
October 2025 — FilOzone/pdp: Delivered a bitmap-based duplicate prevention mechanism for scheduled piece deletions, with a two-level bitmap to support unlimited piece IDs, and a refactor focused on readability and gas efficiency. Added tests to validate the bitmap approach. Fixed a critical bug that allowed duplicate piece IDs in schedulePieceDeletions, improving data integrity and reliability. Overall, the work reduced gas costs, increased scalability, and strengthened the reliability of the piece lifecycle workflow, delivering measurable business value through safer, faster, and more scalable scheduling. Technologies demonstrated include bitmap-based data structures, two-level indexing, on-chain optimization, and robust testing.

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