Personal Resume

Cloud transformation, GenAI enablement, and engineering delivery

Vivek Doshi

Senior Engineering Leader with 13+ years of experience driving digital transformation, cloud adoption, and resilient full-stack delivery.

Proven track record leading high-performing teams of up to 40+ associates, shaping product and platform strategy, and improving delivery speed through architecture modernization and CI/CD maturity. Focused on measurable outcomes across performance, scalability, operational efficiency, and AI-assisted engineering.

40+ associates led 50 applications migrated 3 enterprise transformations Weekly deployment cadence

85-87%

On-time delivery across multidisciplinary programs

15%

Performance improvement from architecture optimization

10%

System uptime improvement through operational rigor

25-35%

Projected manual effort reduction from GenAI modernization

Experience

Leadership and delivery impact

Tata Consultancy Services

Delivery Manager

Driving GenAI-enabled product development and cloud transformation

Jun 2022 - Current

  • Spearheaded a Generative AI proof of concept for Angular framework modernization, projecting a 25-35% reduction in manual migration effort and a 30% improvement in development cycle efficiency.
  • Led cloud migration planning for approximately 50 applications, improving scalability while reducing cloud spend by 15% through pricing-model analysis.
  • Introduced CI/CD patterns across two teams, shifting delivery from bi-weekly releases to weekly deployments.
  • Delivered three major transformation initiatives spanning ELK rollout, cloud migration, and cloud-ready rewrites across enterprise systems.
  • Directed and mentored 40 associates across engineering, support, UX, and architecture, sustaining 85-87% on-time delivery and contributing to 10 promotions.
  • Improved application performance by 15% and uptime by 10% through architecture and operating-model refinement.

Key platforms: Azure Kubernetes Service, Azure Red Hat OpenShift, Azure DevOps, Angular, Java, Datadog, Jenkins, and ELK.

Crud Technologies

Senior Full-stack Developer

Remote delivery of cloud-native product architecture and modernization

Feb 2018 - May 2022

  • Orchestrated architecture decisions across product sub-modules, reducing technical debt by 10%.
  • Led the design and delivery of a cloud-native scrap management platform on AWS that processed roughly 500GB of data annually while improving response time by 15%.
  • Improved ASP.NET and ASP.NET Core application performance by 15% through targeted optimization.
  • Converted legacy solutions to microservices, reducing duplicate effort by 15% and enabling cleaner cloud deployment.
  • Mentored junior developers and reinforced code quality through peer reviews and SonarQube-backed analysis.

Key platforms: AWS EC2, S3, Lambda, RDS, Elasticache, ASP.NET, Angular, and Node.js.

Clarion Technology

Senior Software Engineer

Jun 2015 - Jan 2018

  • Built business-development proof of concepts for machine learning use cases that helped onboard two high-value clients.
  • Led a seven-person team across three e-commerce projects, achieving 95% client satisfaction through reliable delivery and communication.

Sparsh Technology

Software Developer

Jun 2012 - Jun 2015

  • Led development for two web application projects using .NET and SQL Server, cutting post-release bugs by 15% through stronger code-review discipline.

Projects

Selected delivery highlights

Archive Tool (EDI)

Designed a regulatory archive platform handling approximately 500GB of active data and 4TB of passive data across 13 years, with an annual ingest of roughly 300GB.

  • Reduced data provisioning time by 10% across production, development, and UAT workflows.
  • Engineered a resend capability to restart data flow and strengthen recovery during failures.
  • Built with Angular, microservices, and MongoDB for scale and operational reliability.

Scrap Management Tool

Delivered an end-to-end scrap lifecycle platform covering purchase, inventory, dispatch, sales, regulatory rules, and ATM-connected payout processing.

  • Improved compliance adherence by 30% through dynamic rule enforcement.
  • Increased lifecycle data accuracy by 15% and reduced payout processing time by 20%.
  • Built with ASP.NET, SQL Server, and Node.js microservices for specialized automation.