zkFold/symbolic
Nov 2024 – Dec 2024
2 Months active
Languages Used
Haskell
Technical Skills
Abstract AlgebraAbstract Data TypesAlgebraic Data TypesArithmetic CircuitsBenchmarkingCircuit Design
hovanja2011
PROFILE
Hovanja2011
Anna Hovanskaya contributed to the zkFold/symbolic repository by developing and optimizing features for symbolic computation and arithmetic circuit design using Haskell. Over two months, she engineered benchmarking utilities, dynamic resizing, and robust circuit optimization, focusing on performance instrumentation and correctness. Her work included refactoring compiler internals to enhance type safety and simplify constraint systems, as well as fixing critical bugs in range handling and unsigned integer arithmetic. By integrating CI/CD improvements and maintaining clean, readable code, Anna established a more reliable and maintainable codebase. Her efforts deepened the project’s foundation for future optimization and complex circuit support in functional programming environments.
Overall Statistics
Feature vs Bugs
56%Features
Repository Contributions
38Total
Bugs
8
Commits
38
Features
10
Lines of code
2,072
Activity Months2
Work History
December 2024
11 Commits • 2 Features
Dec 1, 2024December 2024 — zkFold/symbolic: Delivered significant enhancements to arithmetic circuit optimization and a major compiler internals refactor, with targeted bug fixes and CI stabilization. The features delivered include robust optimization (variable replacement, constraint simplification, zero-term filtering) and a refactor of the compiler type/constraint system (Functor constraints, toConstVar). Major bugs fixed included UInt overflow handling in splitExpansion and correctness of negate, plus a CI newline fix in the Optimization module. These changes improve reliability and performance of circuit generation, reduce production risk, and establish a stronger foundation for complex circuit support. Technologies demonstrated: advanced optimization engineering, compiler internals, type-safe design, constraint solving, and CI hygiene.
11 Commits • 2 Features
Dec 1, 2024December 2024 — zkFold/symbolic: Delivered significant enhancements to arithmetic circuit optimization and a major compiler internals refactor, with targeted bug fixes and CI stabilization. The features delivered include robust optimization (variable replacement, constraint simplification, zero-term filtering) and a refactor of the compiler type/constraint system (Functor constraints, toConstVar). Major bugs fixed included UInt overflow handling in splitExpansion and correctness of negate, plus a CI newline fix in the Optimization module. These changes improve reliability and performance of circuit generation, reduce production risk, and establish a stronger foundation for complex circuit support. Technologies demonstrated: advanced optimization engineering, compiler internals, type-safe design, constraint solving, and CI hygiene.
December 2024
November 2024
27 Commits • 8 Features
Nov 1, 2024For 2024-11, zkFold/symbolic focused on performance instrumentation, correctness hardening, and code hygiene, delivering notable features and critical bug fixes that improve reliability and business value. Highlights include benchmarking utilities, dynamic resize support, stability fixes for range handling, and essential import/semigroup corrections, plus workflow improvements to streamline development and builds. These efforts reduced risk, improved performance visibility, and set a stronger foundation for future optimizations.
November 2024
27 Commits • 8 Features
Nov 1, 2024For 2024-11, zkFold/symbolic focused on performance instrumentation, correctness hardening, and code hygiene, delivering notable features and critical bug fixes that improve reliability and business value. Highlights include benchmarking utilities, dynamic resize support, stability fixes for range handling, and essential import/semigroup corrections, plus workflow improvements to streamline development and builds. These efforts reduced risk, improved performance visibility, and set a stronger foundation for future optimizations.
Activity
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Quality Metrics
Correctness84.2%
Maintainability85.2%
Architecture80.8%
Performance73.8%
AI Usage21.6%
Skills & Technologies
Programming Languages
Haskell
Technical Skills
Abstract AlgebraAbstract Data TypesAlgebraic Data StructuresAlgebraic Data TypesArithmetic CircuitsBenchmarkingCI/CDCircuit DesignCircuit OptimizationClean CodeCode RefactoringCompiler DesignCompiler OptimizationConstraint SystemsCryptography
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