SkillChirp
CAREER PROJECT · Intermediate · 1–2 weekends

Semantic Search Engine

Index a real corpus, implement semantic retrieval and compare it with keyword baselines.

EmbeddingsVector searchEvaluationAPIsRanking
DEFINITION OF DONE

Leave artifacts a reviewer can inspect.

01

Indexed corpus

Make this concrete enough that another engineer can understand what you built and why.

02

Search UI/API

Make this concrete enough that another engineer can understand what you built and why.

03

Benchmark queries

Make this concrete enough that another engineer can understand what you built and why.

04

Baseline comparison

Make this concrete enough that another engineer can understand what you built and why.

05

Latency notes

Make this concrete enough that another engineer can understand what you built and why.

RESUME / PORTFOLIO FRAMING

Describe what you actually did.

Built and evaluated semantic search against keyword baselines using a repeatable relevance benchmark.

Use this as a starting structure, then replace it with your real implementation details, metrics and constraints. Do not claim outcomes you did not measure.

Validate the shipped project →
STRETCH GOALS

Go deeper if the core is already solid.

Hybrid ranking

Add only if it strengthens the engineering story instead of delaying a finished, deployable core.

Reranker

Add only if it strengthens the engineering story instead of delaying a finished, deployable core.

Query analytics

Add only if it strengthens the engineering story instead of delaying a finished, deployable core.