R
BRANDi RCAClient Yellow Edition
Engine: scikit-learn (TF-IDF + Cosine)

Recruitment Assistant — Top Talent Discovery

Input project specifications, match LinkedIn candidate profiles, and review scikit-learn fitness scores.

Project Specification & Requirements

Input project parameters to calculate top candidate fit with scikit-learn.

Scoring Engine:
Weighting Preset:

Ranked Top Talent Candidates (3)

Sorted by overall fitness score (descending)
#1

Sarah Chen

LinkedIn Profile

Lead Fullstack AI Engineer | FastAPI, Next.js & Machine Learning

Fullstack engineer with 7+ years of experience architecting AI-powered platforms. Expert in Next.js, React, Python FastAPI, PostgreSQL, and scikit-learn recommendation systems.

93.4
Match Score
Engine: sklearn
Skill Match100.0%
Task Similarity (TF-IDF)84.5%
Seniority Fit100.0%
Skills:FastAPINext.jsReactPostgreSQLscikit-learnTypeScript
Skills coverage: 6/6 required skills matched (100.0%). Task relevance: TF-IDF cosine similarity of 0.85 (84.5%). Experience: 7 yrs (target: 4 yrs, 100.0%). Perfect technical fit across full stack and machine learning scoring.
#2

Devin Kowalski

LinkedIn Profile

Senior Backend & Data Engineer | Python, Postgres & Algorithms

Specialized in backend APIs and data-driven pipelines. Experienced with FastAPI, PostgreSQL relational modeling, and applied scikit-learn statistical models.

78.2
Match Score
Engine: sklearn
Skill Match66.7%
Task Similarity (TF-IDF)82.0%
Seniority Fit100.0%
Skills:FastAPIPostgreSQLscikit-learnNext.jsReactTypeScript
Skills coverage: 3/6 required skills matched (66.7%). Task relevance: TF-IDF cosine similarity of 0.82 (82.0%). Experience: 5 yrs (target: 4 yrs, 100.0%). Gaps identified: Next.js, React, TypeScript. Strong backend and scoring foundation.
#3

Priya Sharma

LinkedIn Profile

Frontend Architect | Next.js, React & Modern Design Systems

Passionate frontend engineer focused on building clean, accessible, and high-converting web applications with React 19 and Next.js App Router.

69.5
Match Score
Engine: sklearn
Skill Match50.0%
Task Similarity (TF-IDF)68.0%
Seniority Fit100.0%
Skills:Next.jsReactTypeScriptFastAPIPostgreSQLscikit-learn
Skills coverage: 3/6 required skills matched (50.0%). Task relevance: TF-IDF cosine similarity of 0.68 (68.0%). Experience: 6 yrs (target: 4 yrs, 100.0%). Gaps identified: FastAPI, PostgreSQL, scikit-learn. Exceptional UI/frontend capabilities.