• AI/ML Analytics Product Development, Deployment and Operations:o Performed all aspects of full-stack Python development, including requirements analysis, design, development/enhancement, deployment, management, and support. Developed a general-use Tekton python pipeline to deploy python applications to GCP. Built Terraform scripts to deploy GCP Dataflow / python jobs to GCP (Apache Beam pipelines, PubSub, BigQuery, Dataflow, Tekton). Integrated with GCP Secret Manager to eliminate vulnerabilities.o Implemented robust logging capabilities, enhancing our system’s monitoring, and troubleshooting efficiency. Of special note, used this capability to provide facts needed to increase performance of AI/ML scoring model by an order of magnitude. The improvement was achieved through a combination of code, BigQuery, database, and SQL query optimization. o Collaborated with Data Scientists and Data Engineers in the analysis of data, development of new AI/ML scoring models and visualization of data.o Production hardened AI/ML scoring models / refactored code for multiple analytic applications including CBM and MECM. Integrated scan tools (SonarQube, FOSSA, CheckMarks, Cycode, 42 Crunch) into Tekton pipelines and remediated code to address identified issues/vulnerabilities.o Developed FastAPIs for LLM/GenAI models.o Proactively took GCP and AI/ML training to first learn then teach concepts.• Professionalism and Leadership:o Provided product support during North American business hours, contributing to product operational stability/availability.o Acted as an “on-boarding buddy” for multiple new team members.o Presented concepts at multiple GCP technical training sessions. I am regularly engaged to provide help/mentoring.o Conduct standups, retrospectives and contributed to rally backlog grooming sessions, whenever the Product Manager is not available.

Python/R developer and systems engineer (IT)• Product Management: o Managed daily standups, including Rally. o Participated in PI planning. o Coordinated iteration demos, retrospective and backlog grooming sessions. o Participated in candidate interviews/selection.• User Support Lead: o Managed ITConnect support ticket queue. o Granted access to enterprise platforms. o Solved user issues on Windows, Linux Hadoop edge node and Linux Anaconda Enterprise Docker/Kubernetes environments. o Created/published Code Examples and recorded user instructional videos.• System Engineering: o Replicated monthly python/R package releases to all package repositories. o Created scheduled jobs on Hadoop HPC edge node using Oozie Workflow Manager. o Performed Anaconda Enterprise system health checks during holidays.• Software Engineering and Integration o Developed a tool to deploy analytic solutions from lower environments to higher environments – governance that incorporates gatekeeper and optional business approval ensures alignment with Ford's ISP and includes a history of all deployments. o Developed capability to deploy analytic solutions from Anaconda Enterprise to OpenShift – included source to docker image build, upload to Quay registry and deployment to OpenShift. o Provided integration guidance in the migration of AutoMap application from Anaconda Enterprise to OpenShift. o Provided integration guidance to users who needed to move applications from many environments to Anaconda Enterprise. o Developed/documented code examples to demonstrate how users could integrate with multiple data stores, including S3 and GitHub.

Python Developer • Worked with an agent to agent communication protocol as part of the AI architecture. • Performed database normalization and applied PostgreSQL migrations. • Assisted in research to implement a machine learning algorithm

MERCEDES BENZ RESEARCH & DEVELOPMENT - Redford Charter Township, MI 02/2018eDrive and Software Engineering Intern• Worked on an android cell-phone app development and unit/module testing project.• Programmed interfaces using JAVA and created a REST & WEB API using python.• Became familiarized with the handling of JSON data and with "git" as a development tool.••Co-implemented a cloud-based server backend development for WEB APIs using Python as a REST API.Attended and summarized SAE conference related papers.

•Researched and taught a computer engineering curriculum on C++ object-oriented programming, MATLAB, Deep Learning Neural Network and Data Mining.• Taught and demonstrated key C++ programming language e.g. classes, inheritance, and Polymorphism.• Used Iris database and MATLAB/accompanying tool box to reduce image noise and to enhance face.• Researched the effectiveness of implementing Deep Neural Network to the field of speaker recognition under adverse environment conditions.• Coached students 1-on-1 and in small groups on how to apply learned theories in the workplace.

• Set up and lectured practical projects in Linux for Security and Bash Scripting to enhance both network security and to achieve higher system flexibility.• Utilized the GITHUB community to test several code penetration testing projects under KALI LINUX and integrated projects with the system’s existing tools.• Improved LINUX operating system for both Client and Server by applying essential command line data processing tools such as SED and AWK.