verified_user
Target Output
Weekly Production Deliverable
Deliverable: Tries + Maths (Sieve of Eratosthenes) done. LLD Interview Problems Part 3 underway. You can explain IoC/DI in your own words and have a working Spring Boot REST API on GitHub.
Monday
0 / 2 done
DSA
Trie Implementation and Operations
1.5h
AI/ML
Hugging Face LLM Course (
huggingface.co/learn/llm-course)
Ch.1: What Transformers can do, the
pipeline() API & Ch.2: Using pretrained models from the Hub, tokenizers in practice
2.5h
Tuesday
0 / 2 done
DSA
Trie Implementation and Advanced Operations
Tries theory done
1.5h
CORE
LLD Part 3: Elevator System
Requirements, Class diagrams, State management, Dispatch algorithms, Design & Code in Java
2.5h
Wednesday
0 / 2 done
DSA
Longest Word with All Prefixes; Number of distinct substrings in a string
1.5h
AI/ML
HF LLM Course
Ch.3: Fine-tuning a pretrained model with the Trainer API & Ch.4: Sharing models and tokenizers on the Hub
2.5h
Thursday
0 / 2 done
DSA
Maximum XOR of two numbers in an array
1.5h
CORE
LLD Part 3: Digital Wallet
Account models, Ledger entries, Types of Locking Mechanisms (Optimistic vs Pessimistic), Design & Code in Java
2.5h
Friday
0 / 2 done
DSA
Maximum Xor with an element from an array
Tries fully done
1.5h
AI/ML
HF LLM Course
Ch.5 & 6: Datasets & Tokenizers libraries, memory-mapping, fast tokenizers, byte-level BPE under the hood
2.5h
⚡
Weekend High-Load Execution
• 8.0h Daily Deep Focus Lab
Saturday
0 / 3 done
DSA
Introduction to Bits and Tricks refresher + Print all primes till N (Sieve of Eratosthenes)
1.5h
AI/ML
Hugging Face LLM Course Lab (4.0h)
Tokenizers, causal language modeling, model fine-tuning with Trainer API and PEFT library.
4.0h
JAVA
Spring Core & IoC/DI
What Spring is and why it exists; IoC Container & Dependency Injection; Spring Beans:
@Component, @Autowired, @Configuration, @Bean; Constructor injection vs Field injection (Java Brains / Spring Academy)
2.5h
Sunday
0 / 3 done
DSA
Prime factorisation of a Number; Count primes in range L to R + Contest
Maths module done
1.5h
AI/ML
LoRA & QLoRA Fine-Tuning Lab (4.0h)
Fine-tune a 1B–3B parameter LLM on instruction-following dataset using LoRA adapters; benchmark GPU VRAM utilization.
4.0h
JAVA
Spring Boot REST API
Auto-configuration, starters,
start.spring.io; @RestController, @GetMapping, @PostMapping, @PutMapping, @DeleteMapping, @PathVariable, @RequestBody, ResponseEntity, Postman testing; build an in-memory Todo API on GitHub
2.5h
edit_note
Week 31 Technical Notes & Journal
#LeetCode
#Java
#DSA
#Week31