Abhinav Bansal
The Tech Plumber. Glasgow, UK. abhibansal60@gmail.com
www.linkedin.com/in/erabhinavbansal/, github.com/abhibansal60
Vice President at Morgan Stanley leading engineering teams through agentic AI adoption and tech modernization, after five years modernizing technology at scale across the firm's business units. Known as the Plumber: wherever something needs fixing, I go in. Strong Python engineer who builds multi-agent systems with LangChain, MCP and the Claude Agent SDK. I love building cookie-cutter tools that let every team start from a working pattern, and presenting them as a developer advocate. Came up through test automation and DevOps, and co-invented a patented test automation engine.
Experience
Vice President, AI Platform & Tech Modernization, Morgan Stanley
Dec 2024 to present, Glasgow, UK
- Lead agentic AI adoption and literacy across engineering teams: developer advocacy programmes on agentic frameworks (LangChain, MCP, Claude Agent SDK) and LLM integration patterns
- Build specialised agents for development workflows and DevOps operations
- Drove Kubernetes and Docker adoption across development teams, with 30% faster deployment cycles
- Give architectural guidance on multi-agent orchestration, developer tooling and LLM integration
Vice President, Morgan Stanley
Jan 2024 to Dec 2024, Bengaluru, India
- Led 5+ engineering teams through tech modernization, with a 40% improvement in deployment frequency
- Led the ACT Conference Portal, recognised with the India Technology Showcase Award
- Pioneered Kubernetes adoption with documentation and training that sped up adoption across the organization
- Set up a formal mentoring programme; 3 mentees are now in advanced technical roles
Senior Manager, DevOps, Morgan Stanley
Jan 2021 to Jan 2024, Bengaluru, India
- Scaled the Engineer as a Service model: 35% faster modernization rollouts across business units
- Reusable architecture patterns that cut time-to-market for new applications by 28%
- DevOps and SRE practices with global teams: 45% fewer production incidents
- Frameworks and tools used across the firm, improving quality metrics by 20%
- Led the firm's Transformation network for DevOps practice adoption
Manager, Test Automation, Morgan Stanley
Jan 2020 to Jan 2021, Bengaluru, India
- Built an email-embeddable Cucumber reporting tool for QA teams
- Built DevOps tooling and a worklog dashboard on the Bitbucket API, adopted by multiple teams
Senior Associate, Test Automation, Morgan Stanley
Aug 2018 to Jan 2020, Bengaluru, India
- Led a generic, organization-wide test automation framework from concept to code
System Engineer, Infosys
Aug 2016 to Aug 2018, Bengaluru, India
- Designed a UI automation framework in Java using the Reflection API
- Built a report generation module with data cleansing that made the team 11 times more productive
- Designed the frontend and REST API of the GST Refund Application
- Clients: Telstra and the Government of India
Founder, DollarsGPT.com
May 2013 to Dec 2015
- Grew from zero to 20,000 users with 1,500+ monthly actives through performance marketing and partner integrations
- Ran the whole product: platform development, partner onboarding, payments and growth
Key achievements
- Boardroom. A multi-agent orchestration system: three specialised agents and an orchestrator, built with LangChain and the Claude Agent SDK. It is the internal reference implementation for agentic AI at the firm.
- BLAZE (US patent, co-inventor). BDD Lean Automation Zenith Engine: turns API specifications into executable Java test suites using behaviour-driven development.
- Internal events and conference platform. Built and evolved over 5+ years into the standard for global internal events. Added AI features: proposal submission and review with a recommendation engine for session curation, content filtering, and a Hacker News-style knowledge platform with AI ranking.
- AI developer tooling. A VS Code extension for in-place codebase review and modernisation, CLI skills for DevOps automation, and reusable skills infrastructure that cut onboarding and deployment tasks from days to minutes.
- Pull request chat. A chat bubble on the pull request page so authors can talk to reviewers in place, saving 375+ person-days of effort a year.
Skills
- Agentic AI: LangChain, MCP, Claude Agent SDK, Anthropic and OpenAI APIs, Pipecat, Deepgram, Twilio
- Platform: Docker, Kubernetes, AWS, Terraform, Jenkins, CI/CD
- Languages: Python, Java, TypeScript, React, SQL
- Testing: BDD, Cucumber, Selenium, TestNG
- Advocacy: Developer advocacy, Presenting, Cookie-cutter tooling, Mentoring
Education, awards and certifications
- Bachelor of Technology, Computer Science, Maharishi Markandeshwar University (2016)
- India Technology Showcase Award (Morgan Stanley)
- HashiCorp Certified: Terraform Associate (003)
- Site Reliability Engineering (SRE)