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Schedule Interview NowMy name is Heindrick D. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Ruby, HTML, HTML5, Python, JavaScript, etc.. I hold a degree in Bachelor of Technology (BTech). Some of the notable projects I've worked on include: LTI Advantage Integration, Car Booking CRM Development, API Integration, Redis Caching, Search Engine Development, Option trading algorithm development using Python, Fetch RSS feeds using Python, Google Cloud Function. I am based in Cebu City, Philippines. I've successfully completed 5 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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Tempest
- Integrated Canvas LMS using LTI Advantage - Developed ETLs to sync data with SharePoint, FreshService, HMD Pro ... using Celery, Dagster - Developed APIs using FastAPI - Configured and Managed Elast
The project codebase was too old, it was built using Python2.7 and deprecated frameworks. I have migrated the project to Google App Engine Python3.8 runtime and updated codebase with modern Python Fra
The Tempest search engine is backed by rich-header project. It consists of many microservices which collect data from various sources, manage background jobs, check data reliability. Most of microserv
Interactive Broker is a popular trading platform. Using this algorithm we can pull option chains from IB, open combo and find Iron Condor, evaluate qualification, predict profit etc.
The goal of this project is to fetch CNN RSS feeds periodically according to schedule. I could fetch feeds using Python feedparser library and save to Google BigQuery. To run this script periodically
Bachelor of Technology (BTech) in Software and Web Development
2007-01-01-2011-12-01