verified_user
Target Output
Weekly Production Deliverable
Deliverable: DP on Grids + Stocks done. All of LLD done. HLD Basics + Load Balancing done. Three project mock defenses completed.
Monday
0 / 2 done
DSA
Ninja's training (2D DP intro); Grid unique paths I & II
1.5h
AI/ML
Mock Interview #1: Classical ML Defense
Mock-explain your Phase 2–3 work out loud: EDA insights, mathematical derivations of gradient descent and cost functions in
ml-from-scratch, Kaggle competition decisions
2.5h
Tuesday
0 / 2 done
DSA
Minimum Falling Path Sum; Triangle
1.5h
CORE
LLD Interview Problems 5
Design & Code: ATM Machine System (State pattern, card validation, cash dispenser) & Hotel Management System — LLD Interview Problems Parts 1 & 2 complete
2.5h
Wednesday
0 / 2 done
DSA
Cherry pickup II; Best time to buy and sell stock I & II
1.5h
AI/ML
Mock Interview #2: Deep Learning Defense
Walk through your CNN classifier and Karpathy micrograd autograd engine from scratch; explain backpropagation calculus and ResNet skip connections on a whiteboard
2.5h
Thursday
0 / 2 done
DSA
Stock III; Stock IV; Stock with Cooldown
1.5h
CORE
High-Level Design (HLD) Foundations
What is System Design? Vertical vs Horizontal Scaling, Monolith vs Microservices Architecture, How monoliths are migrated (Strangler Fig pattern, database decoupling), Load Balancers, Consistent Hashing, Database Sharding, Replication (Master-Slave, Multi-Master) + Quiz
2.5h
Friday
0 / 2 done
DSA
Best time to buy and sell stock with transaction fees + Contest
1.5h
AI/ML
Mock Interview #3: GenAI Capstone Defense
Present your Capstone end-to-end: Data Ingestion → Chunking → Embedding → Vector Store → RAG Pipeline → Evaluation → Docker deployment
2.5h
⚡
Weekend High-Load Execution
• 8.0h Daily Deep Focus Lab
Saturday
0 / 3 done
DSA
Best time to buy and sell stock revision
1.5h
AI/ML
Prompt Engineering & Tool Calling (4.0h)
Implement structured JSON outputs, system prompt guardrails, and function calling / tool integration in the AI service.
4.0h
APT
Logical Mocks 7–14
Timed simulation
2.5h
Sunday
0 / 3 done
DSA
DP on Grids & Stocks timed review
1.5h
AI/ML
RAG Evaluation with RAGAS (4.0h)
Evaluate RAG pipeline using RAGAS metrics: Faithfulness, Answer Relevance, Context Precision, and Context Recall.
4.0h
APT
Logical Mocks 15–20
All 20 Logical Mocks complete! + HLD Caching (Read-Through, Write-Through, Write-Back, Cache Eviction: LRU, LFU)
2.5h
edit_note
Week 28 Technical Notes & Journal
#LeetCode
#Java
#DSA
#Week28