Santiago Miro Trejo Email & Phone Number

Waterloo, On, Ca

San Francisco Bay Area

•Led the design and implementation of a Retrieval-Augmented Generation (RAG) model to enhance document interpretation and response generation at scale.• Developed and deployed deep learning models, including LSTM and Transformer architectures, achieving a 15% improvement in prediction accuracy for faster decision-making.• Optimized pre-trained LLMs for complex text analysis and RAG response generation, incorporating natural language processing techniques for better keyword detection and enhanced response accuracy.• Leveraged AWS services (EC2, S3, Lambda) for scalable, reliable model deployment, ensuring 99.9% uptime and efficient handling of large datasets.• Implemented end-to-end MLOps CI/CD pipelines with Jenkins and Docker for seamless model integration and deployment, accelerating model update times by 30% and ensuring continuous adaptation to new data for optimal system performance.

Edmonton, Alberta, Canada

• Led the design and optimization of trigger software for the P-ONE detector, boosting detection capabilities by 25% and improving system precision.• Leveraged Python and SQL to streamline data processing workflows, reducing processing time by 40% and achieving a notable 90% efficiency rate.• Coordinated and communicated technical advancements to international stakeholders, resulting in a 30% increase in collaborative initiatives.• Harnessed machine learning and advanced statistical models to validate experimental data, achieving 95% accuracy in results.• Directed a data visualization project, reducing stakeholder decision-making time by 50% through effective transformation of complex datasets.

Edmonton, Alberta, Canada

-Guided undergraduate students through physics laboratories, catering to both engineers and science majors.-Effectively communicated complex concepts and facilitated learning experiences.-Conducted experimental procedures alongside students, reinforcing their understanding and developing strong problem-solving and analytical abilities.-Meticulously prepared lectures for each lab session, showcasing planning, organization, and attention to detail.

Mexico City, Mexico

* Designed and implemented data models using SQL to analyze serum samples from diabetic patients, focusing on protein evolution across different substrates.* Led end-to-end data curation processes, utilizing Pandas and NumPy for data cleaning, preprocessing, and validation to ensure integrity and accuracy.* Optimized data pipelines with ETL frameworks and tools like Apache Airflow, improving performance and efficiency in handling large biological datasets.* Collaborated with cross-functional teams, leveraging tools like Tableau to present data-driven insights and translate complex results into actionable outcomes.* Developed and delivered comprehensive reports using Jupyter Notebooks and presented findings to non-technical medical teams, effectively bridging technical and clinical knowledge gaps.

Mexico City, Mexico

• Conducted periodical calibration of the particle telescopes in the laboratory.• Managed and processed the data collection of the particle telescopes using statistical methods.• Three times selected to present my results to the National Congress of Physics in Mexico (2018,2019,2020).

San Andrés Cholula, Puebla, Mexico

Summer research internship at the National Institute of Astrophysics, Optics and Electronics, where I conducted a research where I estimated the density of particles in a region of space. I needed to review the theory behind the particles in space, and from that select a region in which I could perform the statistical analysis to determine the estimated results. The research was fully theoretical.

Master Of Science - Ms, Engineering Physics/Applied Physics

Thesis: Trigger design for the Pacific Ocean Neutrino Experiment I am designing the trigger mechanism for the P-ONE detector. At this.

Bachelor'S Degree, Engineering Physics, 4.0

Academic Excellence: Top of my class 2020. Thesis: I calculated the flux rate dampening of cosmic ray particles at different levels.