Identify if resume is for software engineering
using AI
Below is a free classifier to identify if resume is for software engineering. Just input your text, and our AI will predict if the resume is suitable for a software engineering position - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-resume-is-for-software-engineering", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-resume-is-for-software-engineering/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/if-resume-is-for-software-engineering/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the resume is suitable for a software engineering position.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Not Software and Software Focused.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the resume is suitable for a software engineering position).
Whether you're just curious or building if resume is for software engineering detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if resume is for software engineering at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Resume Screening Automation: This use case involves automating the resume screening process for recruiting software engineering positions. By accurately identifying resumes specific to software engineering, recruiters can quickly sift through a larger applicant pool, saving time and improving the efficiency of candidate selection.
- Talent Acquisition Metrics: Companies can utilize this function to gather data on the number of software engineering resumes submitted during a hiring period. This analysis can help HR departments identify trends, adjust their recruitment strategies, and better understand the competitive landscape for tech talent.
- Customized Job Recommender Systems: This function can be integrated into job-matching platforms to recommend software engineering positions to candidates who share the relevant skills and experiences identified in their resumes. This enhances user experience by providing tailored job opportunities that align with users' qualifications.
- Diversity and Inclusion Initiatives: Organizations can leverage the function to ensure that their recruitment efforts include a diverse range of candidates in software engineering roles. By analyzing resumes for demographic indicators, companies can focus on widening their candidate pool and fostering diverse perspectives within their tech teams.
- Training Needs Assessment: Managers can analyze resumes of current employees to identify skills gaps within their software engineering teams. This information can inform targeted professional development programs, ensuring that training initiatives align with the actual skills and qualifications represented in the workforce.
- Competitive Analysis of Hiring Practices: This function can be utilized by consulting firms to monitor the types of software engineering candidates being targeted by various companies in the industry. By analyzing trends in resumes, firms can offer valuable insights and recommendations to clients seeking to improve their own recruitment strategies.
- AI-Enhanced Interview Preparation: Educational platforms can use this identifier to curate tailored study materials for students aspiring to software engineering roles. By analyzing resumes to pinpoint key skills and experiences, platforms can create personalized learning paths, helping students to better prepare for technical interviews in their desired field.