Phase 814 DaysFinal Phase

Phase 8 — Portfolio & Career

Polish your best projects end-to-end, build a recruiter-ready profile, and prepare for technical and system-design AI interviews.

  • Publish at least 3 production-quality projects with live demos.
  • Build a technical case study for each project with metrics and architecture diagrams.
  • Practice ML system design and behavioral interviews using structured frameworks.

⚡ Must Know

  • GitHub Portfolio — clean READMEs, architecture diagrams
  • Live Demos — Hugging Face Spaces, Streamlit Cloud, Vercel
  • Technical Case Study writing
  • LinkedIn optimization + technical content
  • ML Interview — bias/variance, precision/recall tradeoffs
  • DL Interview — attention, backprop, loss functions
  • System Design for ML — recommender, search, serving
  • Behavioral interviews — STAR method
  • Kaggle competition strategy

✨ Good to Know

  • Open Source contributions — LangChain, HuggingFace
  • Technical blog writing
  • Take-home assignment strategy
  • Networking — AI Discord, Twitter/X communities

📚 Resources

Full Stack Deep Learning
Courseby FSDL Team

Best course on building and showcasing real AI products.

fullstackdeeplearning.com ↗
Hugging Face Spaces
Platformby Hugging Face

Deploy ML demos instantly with a free GPU-backed hosting.

huggingface.co/spaces ↗
Streamlit Docs
Docsby Streamlit

Build and deploy data apps quickly for portfolio demos.

docs.streamlit.io ↗

🏗️ Projects

Capstone AI App

Polished end-to-end AI product with user value, architecture clarity, and demo readiness.

Full-StackLLMDeployed

Kaggle Competition Entry

Disciplined competition workflow with leaderboard-improving experiments.

KaggleMLflowCompetition