David Castrejon Email & Phone Number

New York, NY, US

• Develop and refine machine learning algorithms, enhancing the AI model's accuracy and reliability in distinguishing various foreign objects on medical images
• Work with a multidisciplinary team, including radiologists and surgeons, to evaluate and optimize AI models, ensuring clinical standards are met and contributing to academic publications and presentations in medical AI
• Crafting a comprehensive dataset for AI training in identifying retained foreign objects on radiographs

Folsom, California, United States

• Automated key portions of the memory validation codebase using Python in a Linux environment, reducing test time from hours to minutes
• Conduct comprehensive DFT (Design-for-Test) validation, integrating and verifying MBIST features to enhance testability and reliability, contributing to the overall manufacturability of integrated circuits
• Utilize HDMT (High Density Modular Test) platform for high-throughput test chip validation, ensuring accuracy and efficiency throughout the production environment
• Perform both pre-silicon and post-silicon validation, including design simulation, test development, pattern conversion, and real-world testing, ensuring that chips met design specifications and functional requirements
• Collaborate with cross-functional teams to develop secure testing methodologies, analyzing sensitive data and implementing solutions to optimize chip performance while adhering to Intel's data security protocols

Sacramento, California, United States

• Lead NSF funded independent research as part of the highly selective CSU-Louis Stokes Alliance for Minority Participation (CSU-LSAMP) Research Scholar program
• Exploring the utility of machine learning in analyzing and predicting the impacts of Amazon Rainforest deforestation

Sacramento, California, United States

• Taught 1-unit semester long supplementary multivariable calculus courses for an academic year
• Responsible for providing relevant course material, grading, and hosting weekly office hours

Sacramento, California, United States

• Develop critical backend services in an Agile Scrum environment using Spring Boot, actively participating in sprints to deliver timely and effective solutions
• Build RESTful API’s for services including subscription management and payment processing while implementing Docker containers to encapsulate and deploy the components seamlessly to AWS
• Streamlining communication between personal trainers and clients through the development of a web application, unifying all points of interaction

Los Angeles, California, United States

• Led a research team of 3 to develop a machine learning framework for detecting Amazon Rainforest deforestation using NASA remote sensing satellite imagery
• Implemented parallel processing techniques on high-performance Linux cloud computing clusters to optimize computational efficiency and expedite model training
• Oversaw the execution of data preprocessing within the Python and C++ codebase, rigorously testing and refining processes to ensure the generation of high-quality machine learning model training data
• Utilized C++, Python, and GIS tools to engineer robust solutions that enhance the quality and effectiveness of the developed training data set
• Coordinated team efforts across multiple time zones by maintaining regular communication, hosting weekly meetings with advisors and researchers, and providing support to teammates by addressing obstacles and delegating.

Los Angeles, California, United States

• First author of a peer-reviewed ML research paper accepted for publication in the proceedings of the 2023 IEEE International Conference on Machine Learning and Applications (ICMLA)
• Developed a deep neural network in TensorFlow capable of predicting California wildfire risk with 82.97% accuracy
• Crafted an extensive machine learning training dataset of over 100 billion data points from NASA satellite imagery
• Selected for the highly competitive NSF REU (National Science Foundation Research Experiences for Undergraduates) program at CSU Northridge, with an acceptance rate of less than 3%, to conduct environmental ML research

Sacramento, California, United States

• Taught introductory indoor rope climbing classes of up to 30 persons
• Assessed the safety knowledge of climbers prior to issuing equipment
• Ensured proper climbing practices were being implemented throughout the facility

Master Of Science - Ms, Computer Science

- Graduate Machine Learning Researcher in Dr. Bai's lab - Focus: Artificial Intelligence - Working full-time at Intel during grad school.

Bachelor Of Science - Bs, Computer Science

Activities and Societies: Peer-Assisted Learning (PAL) | Data Science Club | Billiards Club - CSU-Louis Stokes Alliance for Minority.

Bachelor Of Arts - Ba, Mathematics

Activities and Societies: Peer-Assisted Learning (PAL) | Society for Industrial and Applied Mathematics (SIAM) | Billiards Club.

As-T In Mathematics