Back to Portfolio

Project Title

Overview

One paragraph describing what this project does, what problem it solves, and why it matters. Write for someone who has not seen your code – they should understand the purpose and value of the project from this paragraph alone.

Architecture

Describe how the system is structured. For deployed services, include a diagram showing how components connect. For ML pipelines, describe the data flow from input to output.

Example architecture diagram (replace with your own):

  User Query
      |
      v
  FastAPI Endpoint
      |
      v
  Embedding Model --> Vector DB (Weaviate)
      |                    |
      v                    v
  Query Embedding     Retrieve Top-K
      |                    |
      v                    v
  LLM Prompt Assembly <----
      |
      v
  Generated Response

Approach

What tools and techniques did you use? What decisions did you make and why? This is where you show technical depth – not just what you built, but how you thought about building it.

Results

Include metrics, evaluation results, or screenshots that demonstrate the project works. For ML projects, show model performance. For deployed services, show the API in action or a monitoring dashboard.

What I Would Do Differently

Reflect on what you learned. What tradeoffs did you make? What would you change with more time or resources? This section shows maturity and self-awareness – hiring managers value it.