
Chaitu Tatipamula developed a bitmap-based duplicate prevention mechanism for scheduled piece deletions in the FilOzone/pdp repository, addressing the challenge of reliably managing unlimited piece IDs. By introducing a two-level bitmap data structure and refactoring the code for readability and gas efficiency, Chaitu enabled scalable and cost-effective scheduling of deletions on-chain. The work included fixing a critical bug that previously allowed duplicate piece IDs, thereby improving data integrity and reliability. Using Solidity and leveraging blockchain development skills, Chaitu also expanded test coverage to validate the new approach, demonstrating depth in smart contract engineering and a focus on robust, maintainable solutions.
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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