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Study

A public study shelf for material I have actually worked through.

Each section turns notes I worked through — Georgia Tech DSA and AWS certification prep — into inspectable examples: visual demos, comparison maps, and quick recall prompts to keep the material in long-term memory.

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current courses

active notes

Data Structures & Algorithms I

2026-06-18

ArrayLists, LinkedLists, stacks, queues, recursion, binary search, iterators, comparators, and Big-O from the DSA I study folder.

Big-O scalingArray-backed listsRecursive tracesPointer updates
Module 0
Module 1
Module 2
Module 3

Modules 0–3 · 5 interactive demos

active notes

Data Structures & Algorithms II

2026-06-19

Binary search trees and traversals, BST removal, SkipLists, binary heaps and priority queues, and HashMaps with collisions and load factor, from the DSA II study folder.

BST traversalsBST removalHeap siftHash collisions
Module 4
Module 5
Module 6
Module 7

Modules 4-7 · 4 interactive demos

fresh notes

Data Structures & Algorithms III

2026-07-06

AVL trees and rotations, (2,4) trees with splits and fusions, iterative sorts, and the divide-and-conquer sorts (merge, quicksort, LSD radix, and quickselect), from the DSA III study folder.

AVL rotations(2,4) tree splitsSort trade-offsQuickselect
Module 8
Module 9
Module 10
Module 11

Modules 8-11 · 4 interactive demos

fresh notes

Data Structures & Algorithms IV

2026-07-31

Pattern matching with Boyer-Moore, KMP, and Rabin-Karp, graph traversals and Dijkstra's shortest paths, minimum spanning trees with Prim's and Kruskal's, and dynamic programming from the LCS table to Bellman-Ford, from the DSA IV study folder.

Pattern preprocessingGraph traversalsMST cut propertyDP tables
Module 12
Module 13
Module 14
Module 15

Modules 12-15 · 4 interactive demos

exam passed

AWS Certified AI Practitioner

2026-09-14

A visual AIF-C01 cram sheet: the AI → ML → GenAI hierarchy, Amazon Bedrock and SageMaker AI sub-services, Amazon Q by user, prompt vs RAG vs fine-tuning, evaluation metrics, responsible AI, and keyword-to-answer exam traps.

Service routingRAG vs fine-tuningMetric choiceResponsible AI
Mental map
AWS service families
GenAI decisions
ML core
Responsible AI + governance
Exam traps

6 sections · 36 exam traps

  • /Visual demos you can step through
  • /A module roadmap for each course
  • /Quick self-check prompts to fight forgetting
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