Python Developer
Current• 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.