अभ्यास • Week 36

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Weekly Production Deliverable

Target Output

Deliverable: Java Streams fluency. HLD practice problems 3 & 4 done. A second live Kaggle competition entry. Redis caching and async tasks integrated.

Weeks: W36 Active W37 W38 W39 W40

Monday

0 / 2 done

DSA Lambdas and functional interfaces (Function, Predicate, Supplier, Consumer, Method References)

1.5h

AI/ML Second Kaggle Competition Kickoff

Pick a fresh Kaggle Playground or NLP competition; inspect dataset, understand evaluation metric, write your approach

2.5h

Tuesday

0 / 2 done

DSA The Streams API

map, filter, reduce, collect, stream pipeline lifecycle

1.5h

CORE HLD Practice Problems 3

System Design of DoorDash (Order placement, real-time driver tracking) & System Design of Amazon Online Shop (Inventory management, cart service)

2.5h

Wednesday

0 / 2 done

DSA Collectors

groupingBy, partitioningBy, toMap, joining strings, downstream collectors

1.5h

AI/ML Kaggle Baseline Submission

Build and submit a clean baseline model (feature engineering + tree ensemble or pretrained embedding)

2.5h

Thursday

0 / 2 done

DSA Parallel streams

when they help vs when thread pool contention hurts performance

1.5h

CORE HLD Practice Problems 4

System Design of Google Maps (Routing algorithms, spatial indexing) & System Design of Gmail (Email storage, search, IMAP/SMTP)

2.5h

Friday

0 / 2 done

DSA Refactor 3 old DSA solutions (any topic) to use Streams where it genuinely improves readability

1.5h

AI/ML Kaggle Iteration & Leaderboard Feedback

Explore top public notebooks; experiment with feature additions and evaluate CV score

2.5h

⚡ Weekend High-Load Execution • 8.0h Daily Deep Focus Lab

Saturday

0 / 3 done

DSA Contest + revise Streams API

1.5h

AI/ML Second Kaggle Competition: Feature Sprint (4.0h)

Enter second Kaggle competition; build automated feature engineering pipeline; train ensemble models.

4.0h

JAVA Spring Caching with Redis

Spring Cache abstraction: @EnableCaching, @Cacheable, @CacheEvict, @CachePut; run Redis in Docker, wire Redis cache manager

2.5h

Sunday

0 / 3 done

DSA Full revision

explain the Streams pipeline model (lazy evaluation, terminal vs. intermediate ops) out loud

1.5h

AI/ML Kaggle Model Stacking & Blending (4.0h)

Train level-2 meta-learners; analyze out-of-fold validation predictions; submit competitive ensemble.

4.0h

JAVA Async Execution & Scheduled Tasks

@Async, thread pool configuration with ThreadPoolTaskExecutor, @Scheduled cron jobs; build a background cache refresher on GitHub

2.5h

edit_note

Week 36 Technical Notes & Journal

#LeetCode #Java #DSA #Week36