- Applied Agile principles to manage project tasks, ensure team alignment, and foster collaboration.- Managed timelines, resources, and milestones, coordinating across teams to mitigate risks and ensure timely deliverables.- Engaged in value-based development and customer validation through the NSF I-Corps program.- Led customer discovery sessions, analyzing interview data to prioritize target customer segments and key product features.

- Led the instructional team and served as primary instructor for laboratory sections.- Created coursework materials: assignments, labs, interactive activities, and demos.- Managed logistics and procedures for classes of up to 400 students.- Delivered lectures on product development, customer discovery, and market analysis.- Addressed business and ethical considerations in product design, focusing on accessibility.- Taught user interface and information systems design principles tailored for immersive VR/AR environmentsCourses:- ECE 15: Engineering Computation- ECE 16: Rapid Hardware and Software Design for Interfacing with the World- ECE 140A: The Art of Product Engineering- COGS 2: Cognitive Neuroeconomics- COGS 3: Introduction to Computing - COGS 107A: Neuroanatomy and Physiology- COGS 187A: Usability and Information Architecture- ENGR 100L: Design for Development Lab

- Collaborated with the ML team on deep learning architecture for satellite image classification.- Retrieved, processed, and prepared satellite and geographic data for ML systems.

Project 1: Anomaly Detection• Queried data from multiple database systems including PostgreSQL and Amazon Redshift SQL.• Statistical analysis was performed to determine patterns within the datasets based on recorded wafer measurements.• Designed and optimized a Multilayer Neural Network to be able to classify wafers based on being abnormal or normal in respect to its associated tooling dataset patterns.Project 2: Create an application that uses updated datasets to update the limits for tooling for wafer processing• Created a user interface for the engineers to use so they can easily define tools and statistical values that the limits will be associated with.• Once selections are made the application queries the datasets from the Amazon Redshift SQL database.• Statistical values are then computed for each tool and associated limits in respect to its dataset. • The engineer reviews the new limits and updates the database with these new limits.

Project Lead• Managed a team of 8 students to accomplish tasks necessary for us to reach our goal of classifying animal behavior.• Coordinating with researchers at the San Diego Zoo Institute for Conservation Research.• Maintaining our code base using Github as our version control system and virtual environments for the team.Researcher• Data we analyzed consisted of images, JSON files, and labeled data from researchers at the San Diego Zoo.• Creating tools to help researchers be more efficient by better classifying collected data from camera traps in the field.• Used TensorFlow to build binary machine learning models for classifying images based on the content within the images.