Carlos E. TorresWelcome to my corner of the internet
Hi, I'm Carlos, an experienced and successful software engineer with two decades of expertise in creating impactful solutions across web, mobile, and enterprise platforms. Proven expertise in leading teams, client engagement, and the entire software development lifecycle, leveraging AI-assisted coding workflows to enhance productivity. Strong background in engineering management, startups, business modeling, generative AI, and prompt engineering.I'm currently a Principal Software Engineer at Oracle (Oracle Health & AI), leading technical design, implementation, and delivery of the Clinical AI Agent (CAA), that provides rich multi-modal conversational experiences allowing for seamless transition across voice, text, and touch interfaces. Building AI digital assistants powered by powerful cloud-based LLMs, utilizing advanced prompt engineering techniques to optimize conversational accuracy, context retention, and user intent resolution.
I'm also pursuing a Ph.D. in Computer Science at UCCS , focusing on AI, Machine Learning, NLP, and LLMs. My academic journey includes an M.S. in Computer Science from UCCS (with awards for Colorado Cybersecurity Scholarship and Graduate Research Assistant roles), an MBA in Project Management, and a Bachelor's degree in Computer Science.
My work is characterized by a commitment to innovation, quality, and a collaborative spirit. I am a lifelong learner, naturally curious, passionate about technology, open-source contribution, and leveraging my skills to solve complex problems.
Beyond my technical pursuits, I am a Spiritist, interested in spiritualism, philosophy, music, motorcycles, and home improvements and automation.
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Latest posts
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Is Fine-Tuning AI Models Still Needed? August 3, 2026Fine-tuning is no longer the default first move, yet the frontier models we prompt so casually only exist because of it. A practical look at when to prompt, when to retrieve, and when to train.
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What is AI Observability? July 31, 2026Traditional monitoring tells you if a system is down. AI Observability reveals why your model is misbehaving in the real world. Here is your quick guide to the key pillars, top tools, and trends keeping modern AI reliable.
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Human-Centered AI: Putting People at the Heart of Intelligent Systems July 31, 2026Human-Centered AI: Why building AI that amplifies people, rather than replaces them, is the research question at the heart of my PhD journey.