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Schedule Interview NowMy name is Ricardo A. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: AI Model Integration, TensorFlow, LLM Prompt Engineering, AI Chatbot, Facial Recognition, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: Facebook Lead Workflow, RAG-Powered AI Agent Automation, Retrieval-Augmented Generation (RAG) Knowledge Platform, AI Fraud Detection System for FinTech, Multi-Tenant AI Chatbot Service, etc.. I am based in Clearwater, United States. I've successfully completed 14 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
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Kyros.ai
Designed and implemented a real-time automation system in Make.com to capture incoming Facebook Ads leads, assign them fairly across the sales team, and instantly notify team members through multiple
Built an end-to-end workflow automation that integrates Retrieval-Augmented Generation (RAG) with an AI Agent and a website frontend for intelligent knowledge retrieval and task execution.
Developed a RAG-based system that enabled enterprises to query internal documentation with contextual accuracy. Implemented semantic search with Pinecone and Hugging Face transformers, integrated with
Architected fraud-detection pipelines processing millions of transactions per day. Built anomaly detection models in PyTorch, integrated them with microservices, and reduced fraudulent activity by ove
Designed and deployed a multi-tenant AI chatbot platform capable of handling 100K+ daily requests with sub-100ms latency. Built using LangChain and FastAPI with a React-based dashboard, integrated vec
Bachelor of Science (BS) in Computer Information Systems Engineering
2010-01-01-2019-01-01