Vidya Wadkar

Vidya Wadkar

Technology Leader | AI & Cloud Visionary | Driving Business Impact | Engineering Solutions that Connect and Empower

Role
Distinguished Engineer at Verizon
Location
New York, NY, US
LinkedIn followers
500 followers

About Vidya Wadkar

As a Distinguished Engineer at Verizon, I bring over 18 years of experience designing and scaling enterprise technology platforms across telecommunications and digital services. My work focuses on architecting large-scale data and AI-driven systems, performance-optimized cloud-native platforms, and intelligent automation frameworks that operate reliably in high-volume production environments.I specialize in distributed systems architecture, data platform engineering, applied machine learning, and conversational AI, with hands-on experience translating complex technical concepts into deployable, production-grade solutions. My contributions span system design, scalability optimization, platform modernization, and operational reliability.Alongside my engineering leadership, I actively engage in technical research, publications, and peer review, evaluating emerging architectures, frameworks, and implementation patterns. I’m particularly interested in advancing practical, high-impact innovations that bridge research, enterprise adoption, and real-world performance outcomes.

Experience

  1. Distinguished Engineer

    Verizon

    Jan 2024 — Present

    As a Distinguished Engineer at Verizon, I\'m leading transformative initiatives to modernize processes, optimize system architectures, and foster sustainable innovation. I successfully spearheaded the migration of a monolithic ATG application to cloud-based Spring Boot microservices, achieving enhanced modularity, scalability, and performance. I also architected a personalized shopping platform leveraging customer insights to deliver tailored recommendations, product offers, and service upgrades, significantly boosting customer satisfaction and engagement. Currently, I am driving & leading the discovery phase of a hybrid agentic AI framework with a use case to automate error handling in application journeys, ensuring robust, seamless user experiences while enhancing operational reliability.

Education

  • MCA, Bharati Vidyapeeth

    MCA, Software

    2004 — 2007

Skills

  • Java Enterprise Edition
  • Oop
  • Software Development
  • Struts
  • Core Java
  • Testing
  • Html
  • Soa
  • Jsp
  • Software Project Management
  • Web Services
  • Spring
  • Microservices
  • Agile Methodologies
  • Spring Integration
  • Mongodb
  • Gemfire
  • Spring Data
  • Java
  • Servlets
  • Jboss Application Server
  • Microsoft Sql Server
  • Spring Framework
  • Design Patterns
  • Websphere
  • Jms
  • Business Analysis
  • Xml
  • Rest
  • Ajax
  • Sdlc
  • Ant
  • Agile Application Development
  • Javascript
  • Uml
  • Weblogic
  • Oracle
  • Requirements Analysis
  • Maven
  • Spring Boot

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