Chad L. Email & Phone Number

Tulsa, Ok, Us

Tulsa Metropolitan Area

Technical, functional, and business development leader for the AI Engineering Department executing AI and MLOps product development for vision AI solutions deployed to the edge

Tulsa Metropolitan Area

• IRAD AIML Team Leado Execute functional ownership and responsibility for the ML model development, MLOps, and label production teamso Serve as a technical architect for the design of MLOps features and AI/ML solutionso Engineer MLOps processes to meet customer needso Execute the Product Owner role in the Scrum framework for MLOps feature effortso Interface with local and senior stakeholders in leadership to provide updates and prioritize featureso Facilitate internal and external revenue growth of the AIML capability recently winning a $300k contract award for a ML object detection, classification, and reidentification prototypeo Advocate for, hire and develop additional personnel and associated job requisitions to fill the technical and label production gaps on the broader AIML team•Attend business development Proposer’s Days and evaluate viability of potential proposals requiring AIML•Represent L3Harris AIML at university partnership development activities with Texas Tech and Tulsa University•Conduct screening, panel, and technical interviews alongside resume reviews and job fair facilitation to support both AIML and general software engineering recruitment•Identify and define scopes of work and funding required for potential IRAD projects to execute in future fiscal years

Tulsa Metropolitan Area

•Assumed the IRAD AIML Team Lead responsibilities as neededo Defined the 2022 research roadmap with the R&D director for two technical projectso Led the implementation of the 2022 IRAD roadmap encompassing leadership across the data labeling, modeling and simulation, data engineering & MLOps, and two algorithm development teamso Successfully led the team to a deployed MLOps pipeline fulfilling the 2022 IRAD plan and achieving approximately $1.5 million USD in efficiency savings resulting in a 2023 e3 AIML Machine Learning Acceleration Engineering Award from the L3Harris CEO Chris Kubasiko Grew and developed the teams by defining job requisitions to fill the technical and label production needso Escalated inefficiencies and blockers as they arose to senior leadership before removal•Led the cross-company collaboration between L3Harris and a software tool suppliero Functioned as the L3Harris point of contact for the suppliero Led the installation and integration of multiple software tools into the algorithm development team’s workflowo Coordinated training workshops for both current users and potential users from interested teams within L3Harris•Led a new effort to establish local university partnerships with research groups to execute innovation•Led the data labeling group producing the truth data for model developmento Recruited, onboarded and trained current data quality leado Communicated and executed labeling for priority data as requested by the algorithm development teams•Presented briefings of current progress & capabilities to company-wide audiences and to senior leadership•Provided content and feedback for business development white papers that referenced the team’s algorithms & MLOps infrastructure•Operated as a core member of the software engineering recruiting teamo Represented IRAD at career fairs, evaluated resumes, conducted phone screenings, led panel interviews, & facilitated updates to the software recruiting official record

Tulsa Metropolitan Area

•Volunteered for the IRAD AIML Team Lead responsibilities in July 2021 after the previous Lead's departure o Created the portfolio monthly review for all IRAD projects for the engineering director o Led the data labeling team from inception including the process engineering, recruitment, & training o Led the data engineering team from inception to effectively support the ML model training & evaluation•Performed research and development for a real-time algorithm that executed object detection, classification, and tracking from visual image data for deployment on embedded hardware o Reviewed publications to find deep learning models and object tracking techniques to implement and evaluate for use in the algorithm o Trained the saliency detection model using Python with TensorFlow & scikit-learn o Tested the algorithm after feature updates o Led the documentation effort•Developed a simulation environment and a RL solution for a coverage PP scenario o Created 2D discrete movement and 2D continuous movement environments using PyGame o Designed, trained, and evaluated an model to achieve human-level performance with discrete movement o Prepared proposal that led to the continuation of the IRAD project•Conducted evaluations of SOTA models and techniques from publications and industry for feasibility as a new capability o Technical areas included general object counting, adversarial training, scene captioning, lifelong learning, and deep trajectory estimation•Developed software in Python including PyTorch, Keras, OpenCV, & NumPy packages•Attended CVPR and GTC conferences to evaluate new techniques & tools•Achieved the Scrum Master certification from Scrum Alliance•Reestablished the university recruitment for the software engineering recruiting team after the shutdown due to covid-19 o Evaluated resumes, conducted and panel interviews, & updated the software recruiting official record

Houston, Texas Area

•Developed Azure DevOps CI/CD deployment pipelines for production in a Snowflake data warehouse•Maintained responsibility as Snowflake database and CI/CD administrator•Designed, implemented, and maintained data ETL pipelines•Used SQL, XML, R, & SAP HANA for development of various pipelines that move large volumes of data•Agile/Scrum software development environment on an 8-member team•Developed Azure Cloud and On-Premise MuleSoft Rest API Pipeline•Performed DevOps to provide integration configuration for SAP HANA and OpenShift environments•Tableau and Power BI for visualization

Warner Robins, Georgia, United States

•Analyzed USAF Maintenance data for potential usage in automated data solutions•Performed C# modifications for testing software

Chattanooga, Tennessee

•Project GEAR – Capital project with an international team of 70 members and a multi-million dollar budget to dismantle, transport, redesign, and expand a production asset•Interdisciplinary reliability engineering team member•Site electrical safety and procedure resource•SAP data integration•Maintenance strategy implementation and optimization - Created and implemented 40 new reliability and maintenance strategies encompassing over 500 pieces of substation equipment

Chattanooga, Tn

•Single line diagram optimization•Power distribution design•NEC code

Master'S Degree, Computer Science, 3.9 Gpa

Machine Learning • Supervised learning using decision trees, support vector machines, artificial neural networks, k-nearest neighbors, &.

Bachelor’S Degree, Computer Engineering, 3.82 Gpa

Activities and Societies: Residence Hall Government - President Institute of Electrical and Electronics Engineers (IEEE) Phillips 66.

Bachelor’S Degree, Electrical Engineering, 3.82 Gpa