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Schedule Interview NowMy name is Santiago M. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Full-Stack Development, Front-End Development, React, Next.js, JavaScript, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Lobium, WedFluencer - AI Wedding Video Streaming & Marketplace Platform, React/NextJs / Healthcare Application for doctors and practioners, SmartMeet AI – Ultimate Booking & Notification Assistant. I am based in Quezon City, Philippines. I've successfully completed 4 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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UnionBank of the Philippines
Lobium is a SaaS platform at the intersection of Public Affairs and Technology. , I made substantial contributions by crafting seamless user interfaces with React, I integrated Neo4j for robust data management. AWS services were implemented to ensure a scalable infrastructure. Celery & Rabbit MQ were utilized to optimize task processing, & FastAPI increased backend efficiency. The result was a streamlined workflow, empowering Public Affairs consultants to navigate the political arena with heightened speed & efficiency.
As Full Stack Lead, I developed Wedfluencer—a wedding video streaming and marketplace platform using Next.js, NestJS, and Azure. The app enables brides and wedding professionals to share, stream, and monetize content through AI-powered collaboration. I led system architecture, DevOps, UI/UX design, feature development, and documentation. Key features include video uploads, content monetization,Feeds algorithim and admin tools. Built a secure, scalable solution tailored for modern wedding planning.
I architected the UI using reusable, atomic components following a strict design system for maintainability and rapid iteration. Used Redux Toolkit and React Query for scalable state and cache management across high-frequency API interactions. Leveraged SSR (Server-Side Rendering) and ISR (Incremental Static Regeneration) to optimize performance for large-scale dynamic data.
SmartMeet AI is an automated meeting booking assistant built with n8n and Vapi, integrating Slack, Twilio, and Airtable. It schedules meetings using voice AI, sends real-time team notifications via Slack, delivers SMS updates through Twilio, and stores all booking data in Airtable. Designed to streamline workflows and save time, SmartMeet AI offers a smart, multi-channel solution for hassle-free scheduling.
Bachelor of Science (BS) in Computer science
2010-01-01-2014-01-01