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Shanjusha Kulasekaran

Mid-level UI/UX Designer specializing in data-driven, accessible enterprise product design

JPMorgan ChaseIllinois Institute of TechnologyChicago, IL4 Years ExperienceMid LevelWorks On-Site

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About

Product/UX designer with hands-on experience designing AI-driven products end-to-end, including an AI shopping assistant (Stylaire) with multimodal conversational search (text/voice/image). Uses rapid prototyping and usability testing to simplify complex flows (e.g., reducing filter overload via progressive disclosure) and collaborates closely with engineers with working knowledge of HTML/CSS and component systems.

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Key Strengths

  • Designing complex products end-to-end (interaction model + visual language)
  • Translating technical AI workflows into simple user-facing steps
  • User-centered iteration using quick usability tests and feedback loops
  • Reducing complexity via progressive disclosure and clear hierarchy
  • Strong prototyping practice to validate and change designs early (Figma/Framer)
  • Effective collaboration with engineers by designing within component constraints and addressing edge cases

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Experience

UI/UX DesignerJPMorgan Chase · Jul 2025 – Present
UI/UX DesignerHoneywell · Oct 2024 – Jun 2025
UI/UX DesignerDell Technologies · May 2020 – Jul 2022

Education

Illinois Institute of Technologymaster, Information Technology and Management (2024)
SRM Institute of Science and Technologybachelor, Information Technology (2022)

Languages

English

Certifications

Adobe Certified Professional – IllustratorComplete Web & Mobile Designer: UI/UX & Figma (Udemy)

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Connect with Shanjusha

Shanjusha already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

Already have an account?

Hire with Reval

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Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

$250one-time kickoff
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Shanjusha KulasekaranMid-level UI/UX Designer specializing in data-driven, accessible enterprise product design