Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Senior Software Engineer - AI

Turvo · Hyderabad

About Turvo:
Turvo provides a collaborative Transportation Management System (TMS) application designed specifically for the supply chain. Turvo Collaboration Cloud connects freight brokers, 3PLs, shippers, and carriers to unite supply chain ecosystems, delivering outstanding customer experiences, real-time collaboration, and accelerated growth. The technology unifies internal and external systems, providing one end-to-end solution that streamlines operations, enhances analytics, and automates business processes while eliminating redundant manual tasks. Turvo’s customers include some of the world’s largest Fortune 500 logistics service providers and shippers as well as small to mid-sized freight brokers.
 
Turvo is based in Dallas, Texas, with offices in Hyderabad, India. (www.turvo.com).
About Turvo:
Turvo provides a collaborative Transportation Management System (TMS) application designed specifically for the supply chain. Turvo Collaboration Cloud connects freight brokers, 3PLs, shippers, and carriers to unite supply chain ecosystems, delivering outstanding customer experiences, real-time collaboration, and accelerated growth. The technology unifies internal and external systems, providing one end-to-end solution that streamlines operations, enhances analytics, and automates business processes while eliminating redundant manual tasks. Turvo’s customers include some of the world’s largest Fortune 500 logistics service providers and shippers as well as small to mid-sized freight brokers.
 
Turvo is based in Dallas, Texas, with offices in Hyderabad, India. (www.turvo.com).

Responsibilities:

  • The Senior Software Engineer helps Turvo maintain high standards through analysis, design, development, and deployment activities. 
  • Review product specifications and produce top-quality high-level/low-level technical design deliverables. 
  • Evaluate technical solutions for feasibility and fit, at the same time provide recommendations and feedback. 
  • Collaborate cross-functionally to make technical trade-offs between your group’s short term and long term business needs, and the needs of the company as a whole. 
  • Work closely with Software and Quality Engineers in your peer group to implement solutions, test, automate, and deliver high-quality features .
  • Perform thorough code-reviews and provide actionable feedback. 
  • Implement automation for clean code, quality gates, and security vulnerability checks. 
  • Document components and design, both in-code and on collaborative tools like Confluence. 
  • Iteratively improve the underlying infrastructure and third-party libraries. 
  • Resolve escalated customer technical inquiries. 
  • Qualifications:

  • Minimum 3 years of relevant experience working on Java, Spring and SpringBoot.
  • Bachelor's degree in Computer Science, related field, or relevant experience.
  • Experience building microservice-based high-performance, stable, scalable systems that have been successfully deployed in an enterprise setting. 
  • Experience mentoring other Engineers. 
  • Knowledge of API driven platform development & Software Integration. 
  • Must have expertise in relational and non-relational/NoSQL databases like MySQL, Oracle, MongoDB, ES, etc. 
  • Knowledge on Agile development tools, CI/CD tools like Jenkins and Test driven development tools. 
  • Experience working with Large Language Models (LLMs) such as GPT, LLaMA, or similar, including fine-tuning and prompt engineering for enterprise use cases.
  • Strong understanding of natural language processing (NLP) concepts such as embeddings, semantic search, and text classification.
  • Ability to design and integrate LLM-powered solutions into microservice-based architectures, ensuring scalability and performance.
  • Nice to have:

  • Experience in designing, leading and shipping complex web applications. 
  • Experience developing applications for the Supply-Chain domain. 
  • An eye towards modern product design and minimalistic user experience. 
  • Knowledge of cutting edge technologies such as PaaS, NoSQL, Event processing etc. 
  • You proactively contribute to knowledge-sharing across the Turvo engineering community. 
  • You demonstrate resilience and navigate difficult situations with composure and tact. 
  • Is self-motivated and able to work independently.
  • Experience applying LLMs to supply chain or logistics problems, such as intelligent document processing, automated customer support, or predictive insights.
  • Knowledge of responsible AI practices, including bias detection, model evaluation, and secure handling of sensitive data.
  • Exposure to cloud-based AI platforms (Azure OpenAI Service, AWS Bedrock, or GCP Vertex AI) for deploying and managing LLM applications.