verified_user
Target Output
Weekly Production Deliverable
Deliverable — end of Phase 9 checkpoint:
A second, fully differentiated capstone: Production Spring Boot backend with a real Spring AI feature — RAG over your own docs, tool-calling, conversation memory, rate limiting, and an MCP server.
Core CS: Two fresh system-design problems practiced (URL Shortener, Rate Limiter) plus formal system-design document for your own system.
DSA: Kept sharp through weekly contests and targeted weak-topic revision.
This is, concretely, "Java AI Engineer" — not two separate resume lines, one unified system.
Monday
0 / 2 done
DSA
Weekly contest
1.5h
AI/ML
Capstone Evaluation & Metric Benchmarking
Run 50 real queries through evaluation rubric; benchmark latency, token cost per query, and answer accuracy
2.5h
Tuesday
0 / 2 done
DSA
Redo 2 hard problems, weakest topic
1.5h
CORE
Mock Project Defense #1: Architecture Walkthrough
Rehearse presenting the system design of your Spring AI capstone to a senior engineer; defend component choices
2.5h
Wednesday
0 / 2 done
DSA
Redo 2 hard problems, second weak topic
1.5h
AI/ML
Signature Technical Essay / Blog Post
Write the signature article: "Why I Built My AI System in Java and Spring Boot Instead of Python" — the direct answer to your prior interview rejection!
2.5h
Thursday
0 / 2 done
DSA
Light mixed practice
1.5h
CORE
Mock Project Defense #2: Failure & Scaling Grilling
Get grilled specifically on scaling to 10k RPS, pgvector indexing performance (HNSW vs IVFFlat), and circuit breaking
2.5h
Friday
0 / 2 done
DSA
Second weekly contest
1.5h
AI/ML
Final Prompt & Advisor Tuning
Fix the top weaknesses exposed by evaluation; optimize system prompts to reduce token usage
2.5h
⚡
Weekend High-Load Execution
• 8.0h Daily Deep Focus Lab
Saturday
0 / 3 done
DSA
Review contest mistakes
1.5h
AI/ML
Spring AI Docker Compose Cloud Deployment (4.0h)
Package full multi-container stack (Spring Boot app + Postgres pgvector + Ollama/Remote API) with
docker-compose.prod.yml.
4.0h
JAVA
Containerization & Cloud Deployment
Multi-service Docker Compose (Spring Boot app, PostgreSQL with pgvector, Redis, MCP server); deploy to cloud (Render / Railway / AWS EC2)
2.5h
Sunday
0 / 3 done
DSA
Full mixed revision
1.5h
AI/ML
Phase 9 Flagship Capstone Walkthrough & Demo (4.0h)
Record a 5-minute video walkthrough demonstrating RAG, tool-calling, and MCP in action; polish GitHub repository.
4.0h
JAVA
Capstone Shipped & Portfolio Finalization
Complete OpenAPI/Swagger documentation; push final code to GitHub; record video demo; pin repository on GitHub profile!
2.5h
edit_note
Week 45 Technical Notes & Journal
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