Elambharathi Thangavel

🚀 Elam's 6-Week Career Plan (Python Backend + Data + GenAI)

4 min read

🏆 Main Goals:

  • Strengthen FastAPI backend skills

  • Gain solid data analysis experience

  • Explore GenAI & build LLM-integrated apps

  • Learn Docker + basic cloud deployment

  • Build 2-3 solid projects to showcase

  • Apply for jobs by end of April

📅 WEEK 1: GenAI Intensive (Google x Kaggle Learn Guide)

Focus: Complete self-paced 5-Day GenAI Intensive by Google

Daily Plan:

  • Day 1: 05/04/2025 ✅ Foundational Models & Prompt Engineering – Learn about transformers, fine-tuning, and try prompt engineering examples

  • Day 2: 06/04/2025 ✅ Embeddings & Vector Stores – Explore OpenAI embeddings + FAISS/ChromaDB basics

  • Day 3: 14/04/2025 ✅ GenAI Agents – Understand agent architecture, experiment with LangChain’s AgentExecutor

  • Day 4: 14/04/2025 ✅ Domain-Specific LLMs – Read about SecLM, Med-PaLM, brainstorm niche LLM ideas

  • Day 5: 16/04/2025 ✅ MLOps for GenAI – Learn about Vertex AI tools, explore model pipelines

  • Day 6: Reflect + Post learnings (LinkedIn / Notion blog)

  • Day 7: Optional catch-up / Rest

✨ Output: Certificate + personal notes + ideas for chatbot project

Fun idea: Share 1 thing daily with ElamLearnsGenAI on LinkedIn

📅 WEEK 2: FastAPI Backend

Focus: Solidify backend development fundamentals with FastAPI

Daily Plan:

  • Day 1: FastAPI basics – endpoints, path/query params

  • Day 2: Pydantic models, request/response validation

  • Day 3: CRUD with FastAPI + SQLite/PostgreSQL

  • Day 4: Middleware, Auth, Routers

  • Day 5: Pagination, Error handling, Swagger UI

  • Day 6: Build Blog API Project – Part 1

  • Day 7: Blog API Project – Part 2

✨ Output: Blog API Project on GitHub

Fun idea: Use ChatGPT for random FastAPI mini-challenges

📅 WEEK 3: Docker + Deployment

Focus: Dockerize your project and deploy it

Daily Plan:

  • Day 1: Intro to Docker – Images, Containers, Dockerfiles

  • Day 2: Dockerize Blog API (with PostgreSQL/SQLite)

  • Day 3: Learn Docker Compose

  • Day 4: Push to GitHub, version control basics

  • Day 5: Deploy to Render / Railway / Heroku (or AWS EC2 basics)

  • Day 6: Write proper README, test endpoints

  • Day 7: Rest + Share deployed project on LinkedIn

✨ Output: Deployed FastAPI project + GitHub with README

Fun idea: Intentional “Docker breaks” and fix challenges

📅 WEEK 4: Data Analysis & SQL

Focus: Hands-on data analysis project using Python, SQL

Daily Plan:

  • Day 1: SQL Refresher – SELECT, JOIN, WHERE, GROUP BY

  • Day 2: Leetcode SQL problems + subqueries

  • Day 3: Pandas/Numpy review, read CSV, clean data

  • Day 4: Visualizations – Matplotlib, Seaborn basics

  • Day 5: Pick dataset from Kaggle, start EDA project

  • Day 6: Build dashboard (Streamlit / Power BI)

  • Day 7: Publish notebook + dashboard

✨ Output: EDA Project (e.g. Netflix Analysis / COVID Trends)

Fun idea: Fun dataset Fridays – use Marvel, Spotify, etc.

📅 WEEK 5: GenAI App Project (Chatbot for prasanth.io)

Focus: Build an LLM-powered chatbot that summarizes and answers questions about the content from prasanth.io, with citations.

Daily Plan:

  • Day 1: Scrape/export prasanth.io content, clean + chunk

  • Day 2: Generate embeddings, store in FAISS/Chroma

  • Day 3: Setup FastAPI + LangChain RAG pipeline

  • Day 4: Build chatbot UI (CLI or Streamlit)

  • Day 5: Add citation logic, test edge cases

  • Day 6: Dockerize + deploy app

  • Day 7: Share project + post on LinkedIn

✨ Output: Deployed GenAI chatbot + GitHub + walkthrough

Fun idea: Try giving your chatbot a personality or theme!

WEEK 6: Career Prep + Job Applications

Focus: Polish profile, resume, and start applying

Daily Plan:

  • Day 1: Resume rewrite (Backend / Data Analyst version)

  • Day 2: LinkedIn optimization (Headline, About, Projects)

  • Day 3: GitHub cleanup, portfolio site optional

  • Day 4: Practice interview questions (SQL, FastAPI)

  • Day 5: Apply to 10 jobs (LinkedIn, AngelList, Cutshort)

  • Day 6: Reach out for referrals (Kovai, Adapt, QV Labs)

  • Day 7: Reflect + Week-wise review

✨ Output: Updated resume + profile + job applications started

Fun idea: Job hunt bingo card 😅 (“Got ghosted”, “Had a call”, “1st Interview!“)

✨ Weekly Fun Activities to Keep It Engaging

  • Join Discords: r/LearnPython, Devcord, GenAI Hub

  • LinkedIn ElamBuilds series: Post 1x/week about your progress

  • Use Notion habit tracker for streaks (gamify learning)

  • 1:1 tech coffee break with a mentor/friend each week

  • Friday movie + build session: Combine chill + coding

🔁 Role Fit Matrix — Based on Your Learning Plan

👀 Elam’s Potential Resume Headline (for LinkedIn / PDF):

Python Developer | Backend + GenAI Integration | SQL & Data Enthusiast | FastAPI • Docker • AWS • Pandas • OpenAI | Actively Seeking Opportunities

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