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Schedule Interview NowMy name is Chris Emilson H. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Scripting, RESTful API, SOAP API, Back-End Development, Shopify, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: AI-Powered Therapy Report Web App (Lovable + n8n), Solving Rate Limit Issue in Workable and Google Sheet API, Site Assignment Instruction Access Automation, AI-Powered Resume Screening and Rating Tool, Internal Database Synchronization Daily Report, etc.. I am based in Kawit, Philippines. I've successfully completed 6 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
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Pointwest Technologies Corporation
Built a secure voice-to-report web app using Lovable for the frontend and n8n for backend automation. Doctors can register, log in, and access a dashboard with analytics and AI-generated therapy reports based on their dictated audio. The system handles transcription, structuring, and email delivery fully automated.
Built a batch queue system in n8n to optimize AI candidate screening. Previously, 1,000+ daily applications triggered automatic processing, causing high API costs and permanent rate limits. I restructured the flow so recruiters manually shortlist candidates, then queue them for role-specific batch processing with delay controls. This reduced API usage by 80%, eliminated rate limit issues, and improved flexibility in matching candidates to the right roles.
This automation streamlines secure access to site assignment instructions. Authorized staff submit requests via JotForm, and the workflow instantly verifies credentials against a secure database. If verified, access is granted automatically—no manual checks needed. Every request is logged in Monday.com and Google Sheets for full auditing and compliance tracking. This saved hours of admin work weekly, reduced human error, and ensured only approved staff get critical instructions. Tools Used: n8n, Google Sheet, JotForm Webhook, GMail, Code Node
This n8n automation uses an AI Agent to screen and rate resumes automatically. When a PDF resume is uploaded to a Google Drive folder, the workflow converts it to text, compares it with a stored job description, and generates a decision: Rejected, KIV, or Shortlisted. The resume is then auto-moved to the right folder, the result is logged in a Google Sheets tracker, and the candidate gets an automatic email with their status and feedback. This saves recruiters hours, ensures consistent evaluation, and keeps all candidate data organized. Tools used: n8n, ConvertAPI, GDrive, OpenAI, GMail
Scheduled task that will automatically generate synchronization report of different APIs to a specific database.
Bachelor of Science (BS) in Electronics Engineering
2013-01-01-2018-01-01