Show HN: Fine tuning a resume builder for SWE's (www.sweresume.app)

SWEResume has launched a one-click resume optimization tool designed to enhance job seekers' chances of passing Applicant Tracking Systems (ATS) and large language model (LLM) resume screenings. Engineered by former engineers and hiring managers, this platform offers tailored keyword matching and structured formatting that aligns with modern hiring practices. The tool uses proven layouts and feedback from top recruiters to streamline the reading process, allowing resumes to be scanned effectively within an average of six seconds—crucial time for job candidates seeking to capture a recruiter's attention. Significantly, SWEResume is optimized for advanced AI models like GPT-5, Claude, and Gemini, focusing on machine readability and role-specific semantics that reflect hiring needs. Users can upload their current resumes for analysis, resulting in instant improvements in ATS scores, keyword relevance, and overall parsing accuracy. Additionally, the tool supports engineers across various specializations, offering personalized prompts to frame experiences that highlight value and ownership. With over 50,000 engineers reportedly benefiting from these optimizations, SWEResume promises not just aesthetic formatting but a strategic approach to resume crafting that increases the likelihood of landing interviews in competitive tech landscapes.