● Enhanced customer interaction with the delivery system by enabling them to rate and comment on candidates. Reduced customer response time with recruiters from weeks to mere hours by implementing APIs and a scheduled notifications service using Bull, Redis, and SES to ensure synchronization among all parties involved.● Implemented IP-based geolocation to automatically obtain the user's location, streamlining and speeding up the candidate application process by automatically fetching their location.● Deployed integrations with FFMPEG modules controlled by Node.js workers in video processing services, resulting in significant improvements in video weight reduction up to 90% and ensuring compatibility with various browsers by supporting multiple video codecs and formats.● Boosted weekly applications by 250% through the implementation of webhooks and Facebook and Google Ads forms using Node.js, SES, and MongoDB.● Enhanced recruiter team efficiency by centralizing communication and process statuses they were handling, providing a more organized and effective platform for internal collaboration.● Implemented import and export of job and candidate data in the ATS by developing a scraping process for multiple job boards using Puppeteer. This approach led to a significant increase in monetization for the company.● Improved user experience by spearheading the update of the company's main landing page using Astro, GSAP, TypeScript, and Mixpanel to track page metrics.

● Led the development of a cross-platform desktop application for automatic photo tagging, utilizing Bootstrap, JavaScript, ReactJs, NodeJs, and ElectronJs.● Achieved 100% manual tagging elimination by automating the process, integrating technologies to ensure compatibility, and tailoring the application to user needs.