Nicholas Muñoz Email & Phone Number

San Diego, CA, US

San Diego, California, United States

- 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.

- 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.

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

San Jose, California, United States

• 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.
• 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.

San Diego, California, United States

• 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.

Master Of Science - Ms, Electrical Engineering: Machine Learning & Data Science

Bachelor Of Science - Bs, Electrical Engineering: Machine Learning & Controls

Associate Of Science - As, Engineering

Activities and Societies: MESA

Education record