April 2025 monthly summary for SSAFYnity/Job-Preparation-Challenge-5th. Delivered a set of high-impact algorithmic features with strong emphasis on correctness, performance, and scalability across diverse problem domains. Achievements reflect a pattern of robust DP-based solutions, BFS-driven pathfinding, and efficient scheduling and validation logic, aligned with business goals of delivering reliable problem-solving capabilities for the challenge suite.

March 2025 — SSAFYnity/Job-Preparation-Challenge-5th: Delivered a diverse set of algorithmic feature implementations across a single repository, expanding problem-solving capabilities and strengthening execution efficiency. The work demonstrates strong breadth across graph, grid, DP, and data-structuring challenges, with a focus on measurable performance and scalable solutions for real-world problem-solving scenarios.

January 2025 performance snapshot for SSAFYnity/Job-Preparation-Challenge-4th: Delivered a diverse set of features across grid, graph, and DP problems with a focus on performance, edge-case resilience, and concrete business value. Highlights include implementing an LRU Cache Simulation for City Lookups (including a zero-cache-size edge case), a Meat Purchase Optimization Solver for cost-efficient procurement across gram options, and a suite of pathfinding and coverage optimizations (Iceberg Melting and Break Counting; BFS-Based Minimum Cost Path in Grid; Base Station Installation Coverage Optimization). The work improved lookup responsiveness, reduced operational costs, and strengthened decision support for planning and optimization tasks. Demonstrated proficiency in dynamic programming, graph algorithms, sliding window techniques, and robust testing of edge cases.