Stanley Chan

ML Algorithm Development and Test – Researched state of the art Machine Learning algorithms. Implemented and tested an XGBoost time series forecasting model to predict object position. Modeling and Simulation - Responsible for developing and maintaining radar and threat trajectory models in various environments. Analyzed customer datasets to generate statistical models for data-driven decision making. Developed methods to measure the performance and uncertainty of prediction algorithms to help ensure generalizability of our models across various environments. Data Pipeline Development – Developed a data pipeline and data storage solution using SQLite Database to ensure future scalability with large datasets. Created tools using Pandas to manipulate large datasets for multi-threaded processing with Dask. Tools Development - Converted legacy data post processing analysis suite from MATLAB to Python utilizing modern data visualization libraries such as Bokeh and Seaborn to create interactive plots. Optimized tools for parallel processing, which resulted in runtime improvements of up to 10x.

A Senior Engineer working as the Program Manager of teams responsible for engineering DevNet support, software management, and engineering/manufacturing metrics to various internal customers. Budget Management - Responsible for program, labor, and schedule as the Control Account Manager. Reorganized program spending which resulted in cost savings to end customers and maintaining spending within the 5% of the anticipated budget. Executive Communication - Developed program health metrics and project status updates to brief executive management. Digital Transformation - Implementing Agile Processes to efficiently track open work items, add transparency for all stakeholders, and allow engineers to focus on development work.

A Senior Engineer working as the Engineering Lead to integrate AI/ML enabled object detection and identification to an EOIR sensor platform with a focus on reducing user workload and increasing situational awareness - Technical leadership of several engineering teams to implement Advanced Recognition on legacy targeting pod - Defined program deliverables and milestones to ensure budget is met as the Cost Account Manager - Designed a Data Annotation and Machine Learning Training/Inferencing pipeline on AWS Cloud - Served as main Point of Contact for all product area AI/ML efforts (RFI/proposal efforts, customer meetings, and business development) - Facilitated communication and needs with other program leads to share limited facility and personnel resources

A Senior Engineer working as the hardware lead on the Global Supply Chain Strategic Sourcing team to assess emerging technology needs and develop supplier engagement strategies to fill those needs - Lead supply chain assessments to assess and identify potential strategic suppliers in key Northrop Grumman Mission Systems technology focus areas such as EOIR, AI/ML, and Advanced Microelectronics - Managed and interfaced with groups of cross sector Subject Matter Experts for assessment needs - Cooperated with Subject Matter Experts to determine course of action/engagement strategies for needs identified in assessments - Briefed all levels of Management and Engineering on assessment outcomes and strategies

Systems Engineer working on target discrimination and tracking algorithms for Electro-Optical Infrared (EOIR) sensors. - Developed, trained, and validated machine learning algorithms to be deployed on fielded systems - Updated tracker and discrimination algorithms through data driven approaches - Created and maintained production level tools used directly in software releases and customer demonstrations - Lead the development of a new software baseline that incorporated machine learning which resulted in new program funding - Supported various internal research and development efforts and participated in knowledge sharing sessions

Founder of a company that provided full prop commission services to customers from design to production - Interacted with customers to develop requirements and deliverables - Completed design and modeling of all required components in ProE/Solidworks - Sourced Materials and determined end pricing for customer - Custom produced each component in accordance to customer requirements and predetermined designed specifications - Completed testing on finished products to ensure functionality