I built a Figma plugin with Claude
The honest, messy story behind taking an AI-assisted idea from frustration to a published plugin.
Captivate
Enterprise UX work spanning research, synthesis, and product design.
UX design leader · Bengaluru, India
Crafting meaningful digital experiences.
I lead teams and design user-centered solutions that bridge business goals with user needs, transforming complex problems into intuitive digital products.
11Years Experience
50+Projects Delivered
8Clients Worldwide
5Design Awards
Selected work
A selection of recent work.
Selected work across enterprise transformation, service design, and hands-on product craft.
Travel portal
A responsive redesign that unified fragmented workflows across Health, Motor, Travel, Marine and four other insurance products.
Research, information architecture and interaction design for a 12-month enterprise transformation.
Read the case study →Captivate: a shared visit coordination workspace
Reframing a static request form as a progressive workspace for requesters, coordinators and independent service teams.
A research-led information architecture and prototype for complex, multi-location visits.
Read the case study →Deloitte.com modernization
Establishing a UX-led process for a 40+ member marketing organization to adopt DMOD and deliver more consistent Deloitte.com pages.
A 1.5-year transformation across process creation, team adoption, analytics readiness and workflow refinement.
Read the case study →Chandra: AI-assisted product design for a Panchang PWA
A one-month product experiment that used AI across research, design-system direction, accessibility review, implementation and Google Play closed testing.
A working Hindu moon-tracking PWA shaped by Panchang users, interested beginners and release-readiness testing.
Read the case study →Other projects & experiments
Additional work.
Showtime
A product-design engagement focused on simplifying discovery and action.
Chandra PWA
An AI-assisted Panchang PWA currently in Google Play closed testing.
How I lead
How I work with teams.
Good teams need enough structure to move with confidence, without taking ownership away from the people closest to the work.
Start with what needs to change
The work starts with the user and business outcome, defines success measures early, and keeps everyday decisions connected to a clear purpose.
Make ownership visible
Decision rights and handoffs are made explicit, so designers and partners have the clarity and space to lead their part of the problem.
Reduce risk through learning
Research, engineering and delivery constraints are brought into the conversation early, with short learning loops to test assumptions before they become expensive commitments.
Raise the quality of the room
Healthy challenge, clear reasoning and coaching through questions help the team become more capable instead of more dependent on one person.
Selected writing
Articles and notes.
Writing about AI-assisted design, team practices, and applying research.
About
Background and experience.
I’m a UX design leader with 11+ years across backend engineering, product design, research, and team management. At Deloitte USI, I lead cross-functional delivery across web platforms, performance dashboards, and AI-powered internal tools—while remaining close to the craft.
Starting as a backend developer shaped how I design: I look for the system behind the screen, make constraints explicit, and work comfortably with both designers and engineers. An M.Des in Product Design added human-centred inquiry to that technical foundation.
Product strategy & discovery
Design leadership
Enterprise UX & accessibility
Design systems
AI-enabled workflows
Technical prototyping
Specialist Assistant Manager, DesignDeloitte USI
UX Designer / ResearcherTata Consultancy Services
Experience DesignerOYO Rooms
Backend DeveloperTriad Software
Contact
I’m open to conversations about design leadership and product roles.
UX transformation · BFSI
Redesigning policy issuance for insurance agents.
An enterprise UX project focused on simplifying the workflow, improving usability, and aligning a cross-functional team.
RoleUX lead
OrganisationTCS / Bajaj Allianz
FocusResearch, strategy, design
Outcome300% engagement growth
Problem
A complex policy-issuance workflow.
Agents needed to complete policy issuance quickly and with confidence. The team first needed a shared view of the workflow, its business rules, and the points where users encountered difficulty.
My role
UX lead within a cross-functional team.
I connected research findings, product constraints, stakeholder priorities, and delivery decisions throughout the project.
- Structured the research and evaluation approach.
- Aligned stakeholders around priority workflow issues.
- Guided the design direction and validation.
- Helped translate findings into implementable changes.
Key decision
Evaluate the end-to-end journey.
Design decisionUse time-to-issue and task confidence as primary measures, rather than evaluating screens in isolation.
This gave business and technical teams a shared basis for discussing priorities and trade-offs.
Outcome
Changes in time and adoption.
The redesigned experience reduced policy issuance time to approximately one minute and contributed to a reported 300% increase in agent digital engagement.
Add before-and-after task metrics, usability evidence, and a stakeholder quote when available.
Reflection
Further measurement.
I would add workflow instrumentation earlier and connect usability findings with operational metrics throughout delivery.
AI tooling · Delivery transformation
An AI-assisted workflow for digital ad production.
An internal tool designed to reduce repetitive production work while retaining brand controls and human review.
RoleDesign lead / builder
OrganisationDeloitte USI
FocusAI workflow design
Outcome~60% less time
Opportunity
Repetitive production work.
Digital ad production required many predictable variations. The process took time away from concept development, review, and other design work.
Approach
Identify appropriate points for automation.
I mapped repeatable steps, brand constraints, review points, and likely failure conditions. This helped distinguish tasks that could be automated from decisions that still required a designer.
Product principleUse AI to support production while keeping review and approval with the team.
Adoption
Introduce the tool with its controls.
- Involved users early to understand trust and control concerns.
- Made brand constraints visible in the workflow.
- Positioned the tool as support for existing team practices.
- Compared production time before and after introduction.
Outcome
Reduced production time.
The tool reduced production time by approximately 60% and provided a reference for evaluating similar workflows.
Add adoption numbers, an error-rate comparison, and examples of generated output when disclosure permits.
Figma plugin · AI-assisted building
A Figma plugin for accessing brand guidance.
A self-initiated project covering product definition, interaction design, AI-assisted development, testing, and publication.
RoleDesigner / developer
ContextSelf-initiated
FocusWorkflow tooling
EvidencePublished plugin
Problem
Guidance outside the design workflow.
Designers often need to leave Figma, search documentation, interpret a rule, and then return to their work. The plugin explores whether common guidance can be made available within that workflow.
Process
From concept to a published plugin.
I defined the scope, designed the interaction, used AI to assist implementation, tested failure states, and completed the Figma Community review process.
Scope decisionBegin with common brand questions rather than reproduce an entire guidelines website inside Figma.
Learning
Designing and implementing the same product.
The project gave me practical experience moving from problem definition to interaction design and implementation, including the limitations of AI-assisted development.
Reflection
Learning from future usage.
A future version could use lightweight analytics and feedback to identify the guidance people use most often and where additional support is needed.
Sivakumar Ravi
UX design leaderProduct strategy · Design leadership · AI-enabled workflows
Profile
UX design leader with 11+ years across backend engineering, product design, research, and team management. Combines systems thinking, hands-on craft, and technical fluency to lead enterprise products and AI-enabled workflows.
Experience
2023—Present
Specialist Assistant Manager, Design · Deloitte USI
Lead a cross-functional team across web platforms, dashboards, and AI-powered internal tools. Built tools reducing production time by approximately 60% and introduced delivery practices that reduced project timelines by approximately 30%.
2018—2023
UX Designer / Researcher · Tata Consultancy Services
Led a 13-member cross-functional team across 60+ usability and accessibility evaluations. Improved defect detection from 75% to 95% and led portal work contributing to a 300% increase in agent digital engagement.
2017—2018
Experience Designer · OYO Rooms
Redesigned reception and check-in experiences across business and leisure properties.
2012—2015
Backend Developer · Triad Software
Built backend logic for 22 interoperable CAD viewer features for industrial applications.
Capabilities
Product strategy and discovery · Design leadership · Enterprise UX and accessibility · Design systems · AI-enabled workflows · Technical prototyping · Stakeholder alignment · Team mentoring
Education
2016—2018
M.Des, Product Design
MIT Institute of Design, Pune
2007—2012
B.E., Production Engineering
PSG College of Technology, Coimbatore
Recognition
Outstanding Performance Award, Deloitte USI · Spot Awards and Applause Award, Deloitte USI · Innovation Pride Award, TCS / Ericsson · On the Spot Awards, TCS