Daniel Rubio

• Orchestrated SaaS platform development for validation and pricing services in the electronics, automotive, and real estate sectors.
• Engineered AI pricing models & agent development using 1st-generation tech & newer LLMs with RAG-Vector DB architectures.

• Designed and implemented a custom LIMS, optimizing food safety and plant science ops, achieving a 50% cost savings over turn-key LIMS
• Developed critical software for equipment tracking and BI reporting, enhancing operational transparency and decision making.• Designed

• Pioneered a cloud-based data cleansing platform using OpenRefine and big data APIs, scaling on AWS to meet diverse user needs.
• Led technical and business development, driving platform adoption and user engagement.

• Architected migration of anti-scraping software from PHP to Python, enhancing processing capabilities for high-volume web-scraping tasks.
• Directed development processes, ensuring robust module creatino and system reliability.

• Led re-engineering of government waterworks systems, improving software and infrastructure, ensuring compliance with quality standards.
• Managed stakeholder relationships, preventing fines and enhancing project delivery.

Technical and business development leader for SaaS focused on pricing engine, legal/technical validation and marketplace for electronics, automotive and real estate. Lead team to develop data models, micro-services and integrations with government registries & commercial providers, as well as the implementation of UIs/dashboards for end users.

Designed software services for vertical farming start-up. Built custom LIMS to support food safety and plant science departments, representing a savings of $500K vs. purchasing a configurable off the shelf LIMS. In addition, supported development of other mission critical software for equipment tracking, produce release and BI reporting.

Technical & business development leader for cloud-based data cleansing platform, built on OpenRefine and other big data APIs. Technical platform built on AWS with ability to cost-effectively scale to thousands of user/groups with varying needs of storage space & processing power.

Lead architect migrating anti-scraping security software application from PHP to Python. Coordinated set up of development & production processes & resources. Lead engineer for module capable of processing up to 50K web-scraping tasks per hour and lead for front-end responsive design, with a budget of $250K.

Lead re-engineering of government waterworks systems including billing and census sub-systems, with analysis of application software, hardware and network infrastructure. Coordinated with US and Mexico based contractors an overall improvement of the sub-systems to comply with the government's quality standards and avoid recurring fines.