Jul 2024 – Dec 2024 · 5 mos

• Coordinate with MLL team & supply chain team, to develop Tableau report for Capacity, TLM and End of Support.
• Optimizing Service Account Usage to Mitigate Security Risks
• GenAI: AI assisted Monthly dashboard/metrics generation using Server and Database Security Patching

Jun 2024 – Present · 1 yr 9 mos

• Converting RHEL Subscriptions from PAYG to BYOL/BYOS.
• Root cause classification of patching failures using AWS AI/ML tools.

Jun 2022 – Jun 2024 · 2 yrs

• Developed end-to-end integrations of features for the CLOUDx platform, showcasing proficiency in both front-end and back-end technologies
• Led as Project Manager and Scrum Master for the J&J-Google collaboration, streamlining onboarding processes and addressing day-to-day inquiries, ensuring the seamless integration of key features and ongoing production releases
• Orchestrated efficient registration for Grit and Accountability training, accommodating 700+ participants globally
• Managed governance of GCP Engineering Backlog and Roadmap, leveraging JIRA and agile methodologies to discern business values of features and prioritize effectively
• Developed new functionality for AWS API to add users to groups, and enhanced tracking of EC2 instances, optimizing scheduling capabilities, and reporting non-production EC2 instances not taking advantage of scheduling capabilities.
• Improved the CLOUDx Google service offering by creating Cloud Functions for security policy enforcement
• Assisted with the proof-of-concept (POC) with the SAP team to validate the feasibility of the Disaster Recovery (DR) solution and identified requirements for the minimum viable product (MVP) of the DR solution
• Established GCP community of practice meetings to drive GCP Hosting Pattern adoption across J&J

Jun 2021 – Dec 2021 · 6 mos · New Jersey, United States · Remote

• Designed and delivered a proof-of-concept automation using Python and Blue Prism to navigate the Drugs@FDA portal and extract 70+ data attributes to feed downstream data science models. These models deliver competitiveintelligence supporting novel clinical trial design at Janssen. Successfully presented and secured funding to move the project into a full delivery.
• Researched and tested new capabilities (Capture, Decipher and Interact) for the Blue Prism automation platform at J&J, collaborated with key stakeholders in Technology Services and delivered a presentation and recommendation to R&D IT leadership to inform future strategy
• Designed and delivered a proof-of-concept automation using Python for table extractions as an input to an NLP model to map to eCRF form names in clinical trials