Accelerating Talent Screening with AI-Powered CV Parsing

SmartDev partnered with a growing IT outsourcing company to streamline their high-volume recruitment process. The client faced manual CV screening bottlenecks, inconsistent formats, and limited technical expertise in HR. Through our AI-powered Talent Solution, we automated resume parsing, standardized candidate profiles, and integrated seamless .docx generation, resulting in faster screening, sharper hiring decisions, and a more efficient end-to-end workflow.
Team

Data Engineers

産業

IT Outsourcing

製品とサービス

AI CV Reformatter

タイムスケール

進行中（2025年以降）

国

ベトナム

事業概要

Our client is a global software development and IT outsourcing company that support enterprises and fast-growing technology companies across multiple industries. The company delivers scalable, high-quality digital solutions through agile delivery models, mature engineering practices, and a strong focus on reliability, security, and long-term partnership.

With deep expertise in AI-enabled solutions and custom software development, the organization operates under strict confidentiality to support clients in modernizing legacy systems, optimizing operational workflows, and accelerating digital transformation. Every engagement is driven by measurable business outcomes, ensuring technology investments translate into real efficiency gains and sustainable growth.

課題

  • Inconsistent CV formats: Resumes arrived in many different styles and templates, complicating standard screening. Recruiters spent extra time hunting for basic details (education, key skills) in each CV, slowing down hiring and making candidate comparisons difficult.
  • Time-consuming manual reviews: With hundreds of resumes to sift through, HR spent hours extracting details by hand. This manual approach was inefficient and prone to human error, fatigue or oversight could cause qualified candidates to be missed. The slow pace also risked losing top talent to faster-moving competitors.
  • Limited technical expertise in initial screening: Many openings were IT roles, but first-round reviews were done by HR staff with minimal tech background. They often struggled to interpret programming skills or project details, relying on guesswork or needing help from technical colleagues. This gap risked misjudging candidates and further bottlenecked the hiring process.
  • Large volume of resumes: A constant influx of new CVs overwhelmed the team’s capacity, slowing down the recruitment process and risking missed talent.

解決策

  • LLM-based resume extraction: A Large Language Model (LLM) was used to automatically read and extract structured data from resumes. It accurately identifies key sections like work experience, education, and technical skills, even from unstructured or inconsistent formats, eliminating the need for manual data entry and reducing errors.
  • Standardized JSON output: Extracted data is organized into a consistent JSON structure, making every candidate profile uniform and searchable. This format enables recruiters to quickly sort, filter, and compare applicants while ensuring no critical information is overlooked.
  • Auto-generated Word resumes with tailored templates: Using the structured data, the system creates professionally formatted .docx resumes based on role specific templates. Each CV is polished, consistently styled, and highlights relevant experience, ready to be shared internally or with clients without any additional formatting work.
  • Seamless integration with existing workflows: The solution was integrated directly into the company’s current HR systems, parsing incoming resumes automatically in the background. Recruiters continued using familiar tools, with minimal training, allowing for a faster and more efficient hiring process without disrupting daily operations.

当社のテクノロジースタック

Streamlit
パイソン
LlamaParse
オープンAI

Outcomes

70% in screening time

Resume processing time dropped from hours to minutes, accelerating hiring timelines and cutting operating costs without increasing HR headcount.

Non-Technical Hiring Enablement

Structured, AI-generated CVs made technical skills easier to understand, enabling HR to confidently shortlist candidates without relying on technical reviewers.

Professional, ready-to-use resumes

Every resume was formatted instantly and consistently for both internal and client use, improving candidate presentation and saving valuable HR time.

Our Methodology

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