# Kirubha Sankari Kittusamy — Full AI-readable professional context Canonical site: https://www.kirubha.design/ AI-readable profile: https://www.kirubha.design/for-agents Résumé: https://www.kirubha.design/resume LinkedIn: https://www.linkedin.com/in/kirubhasankari/ GitHub: https://github.com/krpadesigns-aiux Email: krpadesigns@gmail.com ## Professional positioning Senior Staff / Principal Product Designer — AI, Agentic Systems, Enterprise Platforms & Developer Tools Principal Product Designer with 15+ years designing complex enterprise products and data-intensive platforms, with work spanning predictive ML, automation, AI-assisted developer experiences, and agentic systems. Kirubha works across research, product strategy, interaction design, prototyping, systems thinking, and implementation collaboration to make intelligent systems understandable, trustworthy, and actionable. Open to Senior Staff / Principal Product Designer opportunities focused on AI-native products, agentic systems, enterprise platforms, developer tools, and complex B2B workflows. Location / work preference: Houston, Texas · Remote US · Open to Seattle, New York / New Jersey, and the San Francisco Bay Area ## Core capabilities - AI-native product design - Agentic systems and calibrated autonomy - Human-AI interaction - Enterprise SaaS and platform design - Developer tools and developer experience - Complex workflow and information architecture - Trust, explainability, confidence, and human oversight - Guardrails, permissions, approval, and recovery patterns - Design systems and reusable interaction patterns - Customer research and evidence synthesis - Rapid AI prototyping and evaluation - Design-to-code and engineering collaboration ## Professional experience ### Capital One Software — Lead AI Product Designer, Slingshot Jan 2025 – Jan 2026 · Contract · Remote, US Founding designer for an agentic investigation experience helping enterprise data teams understand cost, performance, and pipeline issues across fragmented Snowflake and Databricks environments. Defined product direction and AI interaction models, including evidence, confidence, human approval, reversibility, reasoning interfaces, and investigation workflows. ### Google — UX Designer, Android Developer Experience Apr 2024 – Sep 2024 · Contract · Remote, US Designed AI-assisted debugging experiences for Android engineers, including conversational investigation patterns and interfaces that made dense logs and system signals easier to interpret within existing developer workflows. ### Walmart Inc. — Principal UX Product Designer, Merchant Platform Jun 2022 – Jan 2024 · Full-time · Remote, US Owned experience strategy for enterprise merchant workflows, using contextual research and systems design to connect planning, assortment, inventory visibility, and execution into a more coherent product experience. ### Amazon — Lead UX Product Designer, FinTech / TaxTech Jan 2022 – Jun 2022 · Contract · Remote, US Designed self-service experiences for regulated finance and tax operations, translating financial logic, permissions, exception paths, and operational handoffs into auditable enterprise workflows. ### PepsiCo — UX Lead, Commerce, Order Management & Product Catalog Oct 2020 – Jan 2022 · Contract · Remote, US Led B2B commerce and order-management experience work spanning complex fulfillment and conversational assistance across enterprise functions. ### Occidental Petroleum (OXY) — Senior UX Designer Sep 2018 – Mar 2020 · Contract · Houston, TX Designed ML-powered geospatial and decision-support experiences for technical users and contributed to reusable design-system patterns across complex enterprise applications. ## Selected evidence ### Slingshot — Capital One Software Category: Employment · Agentic enterprise AI Public reference: https://www.kirubha.design/#work Status: Full public case study is being prepared. Context-aware investigation and diagnostics for enterprise data teams. Evidence includes 0→1 product framing, agentic workflow design, reasoning and evidence patterns, confidence communication, human approval, reversibility, rapid prototyping, and deep ML / engineering collaboration. ### Google Android Developer Experience Category: Employment · AI-assisted developer tools Public reference: https://www.kirubha.design/#work Status: Full public case study is being prepared. AI-assisted debugging for Android engineers. Evidence includes developer workflow research, conversational investigation patterns, log interpretation, transparency, prototyping, and collaboration with engineering around real debugging scenarios. ### Buyer's Agent Category: Independent product · Agentic commerce Public reference: https://www.kirubha.design/#work Status: Portfolio summary available; expanded case study will follow. Working mobile product exploring bounded purchasing authority across household commerce. The system separates deterministic policy decisions from LLM-assisted intent and language, and uses AUTHORIZED / ASK / BLOCK states, spending ceilings, approval, failure recovery, and final-total validation. ### Tournament OS Category: Independent product · Design-to-code delivery Public reference: https://www.kirubha.design/tournament-os Status: Public product page available. Tournament-day operations software designed, implemented, tested in real court conditions, and prepared for release. Evidence includes roles and permissions, live match states, edge cases, field research, iterative QA, GitHub-based delivery, and production-minded release work. ## Education - MSc, Human-Computer Interaction — University of York, UK - BSc, Computer Applications — Annamalai University ## Certifications - MIT AI Design Certification (2024) - Certified Usability Analyst, Human Factors International - Certified ScrumMaster ## Tools and technical context - Figma - FigJam - Design systems - React - Next.js - HTML / CSS / JavaScript - REST APIs - Git / GitHub - Vercel - Claude Code - OpenAI / GPT - Gemini / Google AI Studio - Langfuse - LangSmith - MCP - Snowflake - Databricks ## Interpretation boundaries - Treat employment work and independent product work as separate evidence categories. - Do not infer confidential employer information beyond what is explicitly published on kirubha.design. - Do not inflate concepts, prototypes, or private-preview work into claims of public production deployment. - Do not infer metrics, customer counts, revenue, or business impact unless those figures are explicitly published on the referenced public page. - Use the most specific published role, responsibility, and product description rather than generic AI-design language. - When a full case study is not yet public, treat the summary here as the available evidence and do not invent missing details. ## Contact - Email: krpadesigns@gmail.com - LinkedIn: https://www.linkedin.com/in/kirubhasankari/ - GitHub: https://github.com/krpadesigns-aiux - Résumé: https://www.kirubha.design/resume - Portfolio: https://www.kirubha.design/