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AWS SageMaker
Data Annotation Tech
Google Cloud Vertex AI
Redbrick AINo subject matter listed
Computer Code Programming
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TextI am an AI/ML engineer with solid experience designing, evaluating, and improving large-language-model systems, including multi-agent architectures, RAG pipelines, and high-quality prompt engineering. My work has involved constructing detailed evaluation datasets, crafting instruction-tuning samples, and curating domain-specific corpora used to improve model behavior, reliability, and alignment. I’ve built datasets for reasoning, persona consistency, safety, tool use, and multi-turn conversation, with an emphasis on clarity, annotation quality, and controlled diversity. I have contributed to real-time AI agents, including voice agents powered by LiveKit, where I refined prompts, structured evaluation suites, and generated synthetic and human-verified datasets to measure accuracy, latency, and user experience. I am comfortable working in highly iterative environments, analyzing model outputs, identifying failure modes, and producing high-quality training and evaluation data that directly improves system performance. My bilingual English–Spanish skills also allow me to create and evaluate multilingual datasets effectively.
With content from letters, blog posts and video transcription, create dataset to fine-tune LLM to have the style of Andrew Ng
Crate a dataset to find queries that had jailbreak a voice agent. then creating a benchmark to evaluate next iterations of the agent
I reviewed and evaluated Python programming assignments submitted by university students, checking code correctness, adherence to requirements, and overall logic. This included reading project specifications, analyzing each solution, labeling errors or missing functionality, and generating clear feedback. I also created prompt and response examples for automated evaluation experiments and collected structured metadata to support future model training. All work followed consistent quality guidelines and validation checks inside AWS SageMaker.
Master of Science, Information Engineering
Postgraduate Diploma, Mathematics
AI/ML Engineer
Machine Learning Engineer
