March 2026 — xdsl project (repository: xdslproject/xdsl). Delivered a targeted optimization in the RISC-V dialect by enabling constant folding for shift operations with immediate operands, along with comprehensive tests. This work improves compile-time optimization opportunities for RISC-V workloads, reduces generated IR for common patterns, and strengthens correctness through targeted negative/positive immediate test cases. The change is captured in commit f294310260d53414e7ae781bee5b5724141af33c (dialect: (riscv) add folding patterns for shift ops (#5656)).

February 2026 monthly summary for opencompl/lean-mlir and xdsl work. Focused on automating LLVM RISC-V backend translation, expanding GlobalISel integration, improving rewrite reliability, and extending RISC-V dialects and interpreter utilities. Delivered automation, performance improvements, and broader backend extensibility with tangible business value.

Month: 2025-11 — opencompl/lean-mlir. Key feature delivered: Geometric-Mean Analytics Enhancement, upgrading the instruction-based analytics from arithmetic mean to geometric mean to improve statistical accuracy. Change captured in commit 0a1c59728d00f7f05df0c1714033b0d8453c4648 with message 'chore: mean to geomean'. No major bugs reported or fixed this month. Overall impact: more reliable analytics data feeding optimization decisions, reducing bias in ratio estimates and enabling data-driven improvements. Technologies/skills demonstrated: statistical computation (geometric mean), analytics pipeline tuning, disciplined Git practices and clear commit hygiene, and proactive alignment with analytics-focused roadmap of lean-mlir.