Algorithms & Problem Solving Services | Ronhy Raktos - Fullstack Web Developer Portfolio

Algorithms & Problem Solving Services optimizing code performance through efficient solutions.

I specialize in solving complex problems efficiently and optimally through algorithmic approaches.

Solving complex problems with optimized algorithms and data structures. Analyzing algorithmic complexity, implementing efficient solutions, and optimizing existing code for performance. From Big O analysis to competitive programming patterns, I help you write code that's both correct and fast.

"Write code that not only works but scales efficiently - algorithmic excellence matters."

Technologies & Techniques

Algorithm & Problem Solving Expertise

Core Algorithms & Data Structures

Mastering fundamental and advanced algorithms:

Search & Sorting – Binary Search, Linear Search, Quick Sort, Merge Sort, Heap Sort
Data Structures – Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables
Graph Algorithms – BFS, DFS, Dijkstra, Bellman-Ford, Floyd-Warshall
Dynamic Programming – Memoization, Tabulation, Optimal substructure problems

Complexity Analysis & Optimization

Analyzing and improving algorithm performance:

Big O Notation – Time complexity, Space complexity, Trade-off analysis
Performance Profiling – Identifying bottlenecks, optimizing hot paths
Algorithm Optimization – Reducing complexity from O(n²) to O(n log n), etc.
Greedy & Approximation Algorithms – Finding optimal or near-optimal solutions

Problem-Solving & System Design

Solving real-world problems systematically:

Competitive Programming – LeetCode, HackerRank style problems, coding contests
System Design Patterns – Scaling, Load balancing, Caching strategies
Code Optimization – Refactoring for performance, memory efficiency
Problem Analysis – Breaking down complex problems into manageable parts

Solution Development

Problem Solving Process

01

Problem Analysis & Understanding

Thoroughly understand the problem statement, identify constraints and edge cases, clarify requirements, break down the problem into smaller subproblems, and determine the problem type (optimization, search, dynamic programming, etc.).

02

Algorithm Design & Complexity Analysis

Design multiple approaches to solve the problem, analyze time and space complexity using Big O notation, compare different solutions, identify trade-offs, and select the optimal algorithm based on requirements and constraints.

03

Implementation & Testing

Implement the algorithm in the chosen language, write clean and maintainable code, create comprehensive test cases (normal, edge, boundary cases), validate correctness, and ensure the solution handles all scenarios correctly.

04

Optimization & Documentation

Optimize code for performance and memory efficiency, refactor for readability, profile and benchmark the solution, provide detailed documentation explaining the approach, and deliver clean, production-ready code.

I enjoy discussing new projects challenges. Tell me about your goals, your needs, and your timeline and let’s build something great together.

Let's Talk Me