
Worked on the DS2E2025CP/bot_discord repository to enhance automated cover letter generation for hiring workflows. Developed two major features using Python and natural language processing, focusing on prompt engineering for large language models. The first feature improved the quality and personalization of cover letters by refining prompts and enabling user-provided inputs such as motivations and company links. The second feature allowed generation of cover letters from a candidate’s CV and multiple job offers, supporting .docx export and sample data handling. These updates automated personalized letter creation, reduced manual editing, and accelerated candidate engagement by streamlining document generation across multiple offers.
May 2025 monthly summary for DS2E2025CP/bot_discord: Focused on delivering feature-rich enhancements to the Cover Letter generation workflow, driving quality, personalization, and automation for hiring workflows. Delivered two major feature improvements with documented commit activity, enabling scalable output and faster candidate engagement.
May 2025 monthly summary for DS2E2025CP/bot_discord: Focused on delivering feature-rich enhancements to the Cover Letter generation workflow, driving quality, personalization, and automation for hiring workflows. Delivered two major feature improvements with documented commit activity, enabling scalable output and faster candidate engagement.

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