Lasana Pahanga — Computer Engineering Student

Mar 12, 2026 DSA

Arrays: Memory Layout & Applications

Understanding contiguous memory, indexing, static vs dynamic arrays, and how arrays power real-world systems from databases to machine learning.

Mar 5, 2026 DSA

Problem Solving Framework

A systematic approach to solving algorithmic problems — from understanding the problem to testing and optimizing solutions.

Mar 5, 2026 DSA

Randomized Algorithms Basics

Using randomness to design efficient algorithms — Las Vegas vs Monte Carlo, expected value, and linearity of expectation.

Mar 5, 2026 DSA

Amortized Analysis

Understanding the real cost of operations over time — aggregate, accounting, and potential methods explained.

Mar 4, 2026 DSA

Logarithms & Series in Algorithm Analysis

The mathematical tools behind algorithm efficiency — mastering logarithms, arithmetic, geometric, and harmonic series.

Mar 4, 2026 DSA

Proof Techniques for Algorithms

How to prove correctness, efficiency, and optimality — induction, loop invariants, contradiction, and amortized analysis.

Mar 3, 2026 DSA

Recursion Deep Dive

From base cases to call stacks — a complete guide to recursive thinking, types of recursion, complexity analysis, and common patterns.

Mar 3, 2026 DSA

Solving Recurrence Relations

Mastering the techniques behind analyzing divide-and-conquer algorithms — from substitution to the Master Theorem.

Mar 3, 2026 DSA

Asymptotic Growth of Functions

How algorithms behave as input size approaches infinity — understanding growth rates, limits, and the hierarchy that determines scalability.

Mar 3, 2026 DSA

Space Complexity & Memory Models

Understanding how algorithms use memory in real systems — exploring stack, heap, and cache efficiency.

Mar 3, 2026 DSA

Time Complexity: Big-O, Big-Theta, and Big-Omega

Understanding algorithm growth with practical problem-solving examples — mastering Big-O, Big-Theta, and Big-Omega notation.

Mar 2, 2026 DSA

Why Algorithm Efficiency Matters in Real Systems

From theoretical complexity to production scale impact — understanding how inefficiency becomes catastrophic at scale.

Mar 2, 2026 DSA

Introduction to Data Structures and Algorithms

Building the foundation of efficient thinking — understanding why DSA matters and how it powers modern computing systems.

Jan 10, 2026 AI / ML

Image Super-Resolution: How Real-ESRGAN Actually Works

A deep dive into the AI model behind PixelBoost — exploring GAN architectures, training pipelines, and practical deployment lessons.

Lasana Pahanga is a builder of intelligent digital experiences

#projects

PixelBoost

MediaFlow Downloader

Rubik's Cube Trainer

Mora Hockey

Media Converter

#skills

Languages

Databases

Tools

Other

Frameworks

#achievements

🏑 Athletic Achievements

🎓 Academic Achievements

#what-im-building

#certifications

Supervised Machine Learning: Regression and Classification

Unsupervised Learning, Recommenders, Reinforcement Learning

Advanced Algorithms

Master Python for Competitive Coding

Pre Security Learning Path

Data Cleaning

Intro to Machine Learning

Pandas

AWS Academy Graduate — Cloud Foundations

AWS Academy Graduate — Microservices & CI/CD Pipeline Builder

#blog

Arrays: Memory Layout & Applications

Problem Solving Framework

Randomized Algorithms Basics

Amortized Analysis

Logarithms & Series in Algorithm Analysis

Proof Techniques for Algorithms

Recursion Deep Dive

Solving Recurrence Relations

Asymptotic Growth of Functions

Space Complexity & Memory Models

Time Complexity: Big-O, Big-Theta, and Big-Omega

Why Algorithm Efficiency Matters in Real Systems

Introduction to Data Structures and Algorithms

Image Super-Resolution: How Real-ESRGAN Actually Works

#about-me

#contacts

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