
Duncan developed and maintained the IntersectMBO/lsm-tree repository, delivering a robust storage engine with advanced merge, snapshot, and Bloom filter subsystems. He engineered core data structures and APIs in Haskell, focusing on performance, maintainability, and forward compatibility. His work included refactoring merge logic, introducing configurable batch sizes, and modernizing Bloom filter implementations for cache efficiency and serialization. Duncan applied property-based testing, benchmarking, and technical documentation to ensure reliability and reproducibility. By integrating LaTeX for reporting and Makefile for build automation, he enabled reproducible results and clear stakeholder communication, demonstrating depth in backend development, algorithm optimization, and system design.

In Sep 2025, IntersectMBO/lsm-tree delivered a focused maintenance effort tightening release configuration after the bloomfilter-blocked package was moved to its own repository. This change removes now-redundant constraints from the project file, reducing release misconfigurations and smoothing CI/CD deployments. The work aligns with repository restructuring and enhances release reliability with minimal risk.
In Sep 2025, IntersectMBO/lsm-tree delivered a focused maintenance effort tightening release configuration after the bloomfilter-blocked package was moved to its own repository. This change removes now-redundant constraints from the project file, reducing release misconfigurations and smoothing CI/CD deployments. The work aligns with repository restructuring and enhances release reliability with minimal risk.
July 2025 monthly summary for IntersectMBO/lsm-tree focusing on delivering a polished final report suite, strengthening benchmarking clarity, and improving build/docs infrastructure for reproducibility. Major work covered final report and integration notes wrt content, formatting, references, and PDFs; benchmark clarity improvements; and infrastructure tweaks to support reproducible results and reader guidance. Also implemented a targeted benchmark flag, versioning fixes, and documentation enhancements to improve stakeholder value and long-term maintainability.
July 2025 monthly summary for IntersectMBO/lsm-tree focusing on delivering a polished final report suite, strengthening benchmarking clarity, and improving build/docs infrastructure for reproducibility. Major work covered final report and integration notes wrt content, formatting, references, and PDFs; benchmark clarity improvements; and infrastructure tweaks to support reproducible results and reader guidance. Also implemented a targeted benchmark flag, versioning fixes, and documentation enhancements to improve stakeholder value and long-term maintainability.
June 2025 — IntersectMBO/lsm-tree: Focused on performance tuning, forward compatibility, and maintainability of the merge subsystem. Delivered configurable merge tuning, snapshot versioning, and targeted benchmarks improvements, with a regression fix in the pipelined path.
June 2025 — IntersectMBO/lsm-tree: Focused on performance tuning, forward compatibility, and maintainability of the merge subsystem. Delivered configurable merge tuning, snapshot versioning, and targeted benchmarks improvements, with a regression fix in the pipelined path.
May 2025 performance summary for IntersectMBO/lsm-tree: Delivered substantive Bloom filter enhancements, improved stability, and reinforced testing/documentation to support scalable growth and clearer API expectations. The work lays a strong foundation for higher data throughput and easier maintenance across the Bloom filter feature set.
May 2025 performance summary for IntersectMBO/lsm-tree: Delivered substantive Bloom filter enhancements, improved stability, and reinforced testing/documentation to support scalable growth and clearer API expectations. The work lays a strong foundation for higher data throughput and easier maintenance across the Bloom filter feature set.
April 2025 – IntersectMBO/lsm-tree: Key deliverables focused on performance, reliability, and forward compatibility of the Bloom-filter path within the storage layer. Implemented a Blocked Bloom Filter with a cache-friendly block structure and integrated it into the LSM-tree, accompanied by tests and benchmarking support. Modernized and unified the Bloom Filter API across Classic and Blocked implementations, added deserialization support, usability improvements, and expanded tests. Introduced a versioning/serialization format to align export/import behavior across implementations and updated exports to reduce coupling. No major bug fixes were logged this month; the changes emphasize performance, stability, and future-proofing.
April 2025 – IntersectMBO/lsm-tree: Key deliverables focused on performance, reliability, and forward compatibility of the Bloom-filter path within the storage layer. Implemented a Blocked Bloom Filter with a cache-friendly block structure and integrated it into the LSM-tree, accompanied by tests and benchmarking support. Modernized and unified the Bloom Filter API across Classic and Blocked implementations, added deserialization support, usability improvements, and expanded tests. Introduced a versioning/serialization format to align export/import behavior across implementations and updated exports to reduce coupling. No major bug fixes were logged this month; the changes emphasize performance, stability, and future-proofing.
2025-03 Monthly Summary for IntersectMBO/lsm-tree: Focused on delivering significant snapshot/run representation improvements, structured run construction parameters, API cleanup, expanded state machine and unions analytics, bloomfilter performance enhancements, and strengthened quality through tests and targeted bug fixes. The work improves reliability, performance, and maintainability, enabling faster feature delivery and better instrumentation for monitoring and decision-making.
2025-03 Monthly Summary for IntersectMBO/lsm-tree: Focused on delivering significant snapshot/run representation improvements, structured run construction parameters, API cleanup, expanded state machine and unions analytics, bloomfilter performance enhancements, and strengthened quality through tests and targeted bug fixes. The work improves reliability, performance, and maintainability, enabling faster feature delivery and better instrumentation for monitoring and decision-making.
February 2025 summary for IntersectMBO/lsm-tree: Delivered a major refactor of the MergingRun and credits subsystem, introduced nominal credits/debt and a new MergeDebt type, and overhauled IncomingRun with enhanced credit tracking and multiple constructors. Implemented a focused test program for min/max credit bounds, and added observability through TraceNewMergeCompletedRun. Strengthened test infrastructure (Vector-based MergingTree) and introduced the top-level unions API with aligned tests. These changes improve merge correctness, reporting, and system observability, enabling safer large-scale merges and clearer fault diagnostics.
February 2025 summary for IntersectMBO/lsm-tree: Delivered a major refactor of the MergingRun and credits subsystem, introduced nominal credits/debt and a new MergeDebt type, and overhauled IncomingRun with enhanced credit tracking and multiple constructors. Implemented a focused test program for min/max credit bounds, and added observability through TraceNewMergeCompletedRun. Strengthened test infrastructure (Vector-based MergingTree) and introduced the top-level unions API with aligned tests. These changes improve merge correctness, reporting, and system observability, enabling safer large-scale merges and clearer fault diagnostics.
January 2025 performance summary: Delivered a foundational overhaul of the internal merging framework in IntersectMBO/lsm-tree, introducing the MergingTree structure, enhanced credit tracking and structural emptiness checks, and centralized spend/unspent accounting to improve correctness and maintainability. Implemented targeted build compatibility improvements for GHC 9.6.x in ouroboros-leios, ensuring smoother cross-version builds. Initiated groundwork for incremental merges with clearer MergeType naming and documentation, and reinforced testing practices by reducing duplication in snapshot codec tests. These changes collectively reduce risk, accelerate future feature work, and raise overall system reliability.
January 2025 performance summary: Delivered a foundational overhaul of the internal merging framework in IntersectMBO/lsm-tree, introducing the MergingTree structure, enhanced credit tracking and structural emptiness checks, and centralized spend/unspent accounting to improve correctness and maintainability. Implemented targeted build compatibility improvements for GHC 9.6.x in ouroboros-leios, ensuring smoother cross-version builds. Initiated groundwork for incremental merges with clearer MergeType naming and documentation, and reinforced testing practices by reducing duplication in snapshot codec tests. These changes collectively reduce risk, accelerate future feature work, and raise overall system reliability.
December 2024 monthly summary for IntersectMBO/lsm-tree: Implemented a critical merge policy relocation to improve applicability across merge contexts, establishing groundwork for table unions and improving stability.
December 2024 monthly summary for IntersectMBO/lsm-tree: Implemented a critical merge policy relocation to improve applicability across merge contexts, establishing groundwork for table unions and improving stability.
During November 2024, IntersectMBO/lsm-tree delivered a substantial refactor and solidified blob-based I/O and reference management, setting a safer and more maintainable foundation for future work. Key work included introducing the BlobFile abstraction and migrating Run and WriteBufferBlobs to use it, including adding BlobFile.writeBlob; overhauling the BlobRef API to RawBlobRef with explicit distinction between Raw/Weak/Strong references and integrating BlobFile, while removing BlobRef.readBlob in favor of readWeakBlobRef pathways; migrating to the new Ref API across BlobFile, BlobRef, and consumers with backward compatibility; a Run infrastructure refactor that simplifies Run construction, access helpers, and RunReader interactions to reduce future refactoring complexity; and ref counter cleanup and API removals to tighten lifecycle management and minimize API surface. Additional work included CRC32C specialization with tests, test suite hardening (ForgottenRefs and NoThunks strictness), and documentation updates around BlobRef validity and reference counting. Overall impact: improved reliability and safety of blob I/O and lifecycle management, reduced technical debt, and a clearer path for future performance improvements and maintainable refactors. Technologies demonstrated: advanced Haskell-type API design, migration strategy with backward compatibility, refactoring patterns (Run, BlobRef, and BlobFile interop), and test-driven quality improvements.
During November 2024, IntersectMBO/lsm-tree delivered a substantial refactor and solidified blob-based I/O and reference management, setting a safer and more maintainable foundation for future work. Key work included introducing the BlobFile abstraction and migrating Run and WriteBufferBlobs to use it, including adding BlobFile.writeBlob; overhauling the BlobRef API to RawBlobRef with explicit distinction between Raw/Weak/Strong references and integrating BlobFile, while removing BlobRef.readBlob in favor of readWeakBlobRef pathways; migrating to the new Ref API across BlobFile, BlobRef, and consumers with backward compatibility; a Run infrastructure refactor that simplifies Run construction, access helpers, and RunReader interactions to reduce future refactoring complexity; and ref counter cleanup and API removals to tighten lifecycle management and minimize API surface. Additional work included CRC32C specialization with tests, test suite hardening (ForgottenRefs and NoThunks strictness), and documentation updates around BlobRef validity and reference counting. Overall impact: improved reliability and safety of blob I/O and lifecycle management, reduced technical debt, and a clearer path for future performance improvements and maintainable refactors. Technologies demonstrated: advanced Haskell-type API design, migration strategy with backward compatibility, refactoring patterns (Run, BlobRef, and BlobFile interop), and test-driven quality improvements.
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