Newark, New Jersey, United States
Infrastructure Development Director specializing in cloud automation, containerized platforms, and DevOps transformation. Proven ability to architect scalable IaC solutions, design foundational AI templates, and modernize CI/CD pipelines — driving platform enablement and enterprise efficiency through resilient, automated infrastructure.
Global Technology - Containers & Applications Product • Design and implement reusable patterns and templates for Amazon EKS (Elastic Kubernetes Service) deployments within Backstage.io (DevConnect) platform to standardize and simplify development workflows to empower internal development teams with efficient, secure, and scalable infrastructure solutions Global Technology - Platform Pattern & Enablement • Architected, developed, and documented a reusable core Terraform IaC module to automate AWS Bedrock Agent deployments, standardizing infrastructure patterns and ensuring consistency across environments. • Designed and implemented foundational Agentic AI templates, including AWS Bedrock Agent and MCP Server patterns, enabling business teams to accelerate AI solution development at scale. • Spearheaded the modernization and migration of CI/CD pipelines to GitHub Actions, establishing a streamlined and scalable developer workflow foundation for the platform.
Global Technology - Virtualization Product • Developed IaC product solution for deploying virtual machines using Terraform Enterprise with GitOps and API capabilities • Led effort in modernizing Virtualization product solutions and DevOps transformation: → Developed new modern API solutions leveraging Python FastAPI Framework → Containerized applications using Docker, creating image artifacts and pushing to JFrog Artifactory → Deployed containerized applications to Kubernetes (EKS) → Leveraged HELM to automate and manage Kubernetes deployments → Adopted CI/CD Jenkins pipelines provided by Prudential enterprise team • Core member in a cross-functional group called the "Tiger Team" tasked to create a unified infrastructure API microservices pattern framework for all of the CTO platform to adopt • Leading team in API development best practices and standards following enterprise architecture and industry guidelines; focusing on our CTO API Microservices Pattern (C.A.M.P.) leveraging Python FastAPI framework
Global Technology - Virtualization Product • Developed cloud templates / blueprints for deploying Windows and Linux virtual machines using VMWare vRealize Automation suite (IaC) • Developed Day 2 automations for deployed virtual machines using VMWare vRealize Orchestrator • Utilized Ansible Tower for virtual server management and configuration at the operating system level • Developed and enabled product offerings via ServiceNow Self-Service Catalogs and Apigee API endpoints • Developed and integrated CMDB (Configuration Management Database) solutions in post-deployment automations for all virtual server and appliance builds • Optimized and enhanced existing automations and offerings for Virtualization products
Cloud Engineering Development and Production Scaling Department: • Automation of processes in Linux and Google Cloud Platform (GCP) • Scaling a POC developed in Azure using Pyspark to GCP using Tensorflow • Develop a production-ready Linear Regression model using Tensorflow • Utilize Google Cloud SDK utilities to migrate large amounts of data from Hadoop / Linux to Google BigQuery • Scaling a forecasting model (ETS, ARIMA) implemented in R in GCP • Visualizing forecast accuracy in Google Data Studio • Involved in HR Analytics project to forecast retirement using survival analysis • Maintaining an analytical model utilizing logistic regression to identify fraudulent packages
Flexible Core Billing Department - Customer and Billing Solution Delivery Group: • Create and improve statistical models for anomaly detection during billing cycles • Maintain and streamline processes running in production in Linux Environment • Ad Hoc analyses and projects (R/Bash scripts) • Automated Forecasting procedures utlizing Facebook prophet package in R • Identify customer shipping patterns using Apriori Association Mining Rule • Determine rate shoppers using K-Means Clustering to classify specific groupings • Create and maintain internal dashboard for trending package volume and revenue
Summer Internship - Analytics & Content Management Group: • Utilized OBIEE and SSRS to generate graphical report analyses for users' dashboard • Evaluated online fraudulent activities through various anomaly detection techniques • Performed data wrangling, data manipulation, and data visualization using R Co-Op - Flexible Core Billing Group: • Enhance multiple existing models by improving performance and outlier detection • Created a dashboard using R Shiny to display models' results and improve user experience
Worked with Dr. Cyril Ku as a research assistant in the Computer Science Department of WPU. We collaborated with the Public Health Department, and established a data mart in MySQL Workbench for their behavioral research. The data mart consists of CDC's Youth Risk Behavior Surveillance System aggregates. Responsibilities: • Data manipulation and aggregation on datasets according to users' requirements • Data wrangling and feature engineering on data attributes in R • Perform data mining techniques using R to identify relationships between variables, focusing on student bullying behaviors and mental health factors (apriori algorithm, decision tree, k-medoids)