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More importantly, I got you :-), Here is a backwards compatible version that is designed to work on older or no-javascript browsers classic.richardorilla.website

Resume

Here is a copy of my resume that you can view in the web. I made this using Softmaker Office TextMaker 2024 then converted it to PDF and then converted from PDF to HTML/SVG using PDF Studio 2023.

You can download alternative copies in different formats, such as a PDF version of this by clicking here. If you are interested on the actual Softmaker Office TextMaker file, then you can download it here as well.

This resume was last updated on August 22, 2025. I am currently open for new job opportunities.

ABOUT ME Results-driven Technical Lead with 7+ years of experience designing, scaling, and deploying microservice-based systems and ML-driven analytics. Expert in Python, PyTorch, and cloud-native technologies (Docker, K8s, Azure DevOps) with a proven ability to lead development teams and own system architecture from concept to production LANGUAGE Filipino English CONTACTS richardorilla@ pm.me @ richard_ orilla RichardOrilla.01 SOCIAL g ithub.com/ Shin-Aska mastodon.social/@ richardorilla portfolio.pixelfed.social/ richard_ orilla Richard Orilla Technical Lead in inRiver at Digital Shelf Analytics Division EDUCATION 2017 - 2019 De La Salle University [Coursework Completed] Master of Science in Computer Science 2010 - 2015 University of Mindanao Bachelor of Science in Computer Science EXPERIENCE Present inRiver Technical Lead Architected and led a team of 8 engineers in the end-to-end design and scaling of five microservice-based systems, establishing the core brand intelligence and analytics platform. Implemented and owned the complete CI/CD pipeline using Docker, Kubernetes (Helm), and Azure DevOps , which automated deployments and increased system reliability. Deployed advanced ML models, including LLMs and YOLO , for real-time analytics, delivering key R&D insights that directly informed and shaped company pricing strategy. 2018 - 2022 Detail Online Senior Backend Developer Developed and deployed a suite of ML- powered automation tools using TensorFlow, Caffe, and Darknet, which automated semantic analysis and OCR tasks, reducing manual data processing time by over 50% . Engineered robust internal systems for large-scale web scraping and data ingestion , delivering and maintaining over 15 core REST APIs to serve processed data throughout the organization. Conducted comprehensive technical evaluations of third-party AI platforms, providing data-driven recommendations that guided the company's technology adoption strategy and saved an estimated $50K in potential licensing costs. PROFESSIONAL SKILLS Languages C / C++ C# Javascript Typescript Rust Frameworks & Databases PyTorch TensorFlow Darknet .NET SQL MongoDB CouchDB Concepts & Principles Deep Learning Computer Vision Natural Language Processing (NLP) BERT, GPT SOLID Principles [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)]
Open Source Projects DosboxStagingReplacerForGogGalaxy – C++ https:// github.com/ Shin-Aska/ DosboxStagingReplacerForGOGGalaxy Developed a lightweight, self-contained command-line utility in modern C++ that allows GOG Galaxy users to swap out the default DOSBox emulator. This project demonstrates the seamless integration of modern C++ with low-level C libraries (like SQLite), resulting in a fast, portable tool designed to improve the experience of playing older games.. ShareDis – Javascript https:// github.com/ Shin-Aska/ ShareDis Developed a plugin to address the challenge of sharing webpage links on social networking applications (e.g., IRC, Matrix) where users may lack link preview capabilities. The plugin allows users to share links in any desired format, mitigating potential usability issues for recipients without native link previews. TediousJS (node-mssql) - Javascript https:// github.com/ tediousjs/ node-mssql Contributed a critical feature to the widely-used node-mssql (TediousJS) library by engineering and implementing support for multiple Azure Active Directory (AAD) authentication methods. This enhancement enables developers to securely connect to Azure SQL databases using modern, cloud-based identity protocols, significantly increasing the library's utility in enterprise and cloud-native applications. OpenRA RA2 Mod – C# https:// github.com/ OpenRA/ ra2 Addressed multiple bug fixes in Red Alert 2 OpenRA. These included resolving incorrect speech notifications, rectifying animation issues (e.g., Allied Ore refinery animation timings), and improving low-power scenarios. www.richardorilla.website [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)] [null / ed (has AS)]