Summary
Product Designer with experience in designing enterprise SaaS and data-heavy platforms, specialising in complex workflow optimisation, end-to-end product design, and CRM systems. I create clarity in ambiguity by deeply understanding technical constraints, conducting deep research, and translating insights into scalable, high-impact product experiences. Proven impact across large-scale products with 35%+ MAU growth, 40% workflow reduction, and faster decision-making through KPI-driven and data-visualised interfaces.
20 +
End to End Projects delivered
8 +
Projects from different Industries
3
years of Industry experience
Companies I have worked with in my 3 years of experience
Work Experience
Product Designer, Aude.ai (Industry Sponsored)
August 2025 - December 2025
Increased adoption potential by 40% by redesigning the engineer’s performance evaluation workflow, leading end-to-end research with 28+ engineers and managers to surface organizational pain points and opportunities.
Accelerated team decision-making by exploring AI-assisted design workflows and developing low- to mid-fidelity prototypes that clarified user flows, tested assumptions, and aligned cross-functional partners early in the process.
Improved MAU by 35% and extended platform DAU engagement by 2 hours through designing and prototyping an MVP coaching feature grounded in behavioral insights and daily work patterns.
Product Design Intern, GradientFI, San Francisco
June 2025 - October 2025
Enabled 78% of merchants to interpret insights from monthly statements in under 30 seconds by designing a KPI-driven interface that clarified information hierarchy and supported quick operational decision-making.
Strengthened cross-functional collaboration and design feasibility by integrating continuous feedback loops with engineering, product, and leadership teams, ensuring solutions aligned with technical constraints and system behavior.
Product Designer, Accolode, NYC (Industry Sponsored)
August 2024 - December 2024
Led competitive benchmarking across 8 companies and 5 features, identifying 34% feature gaps and uncovering scalable workflow opportunities that shaped product strategy.
Conducted 34+ interviews and contextual inquiries to identify adoption barriers and streamline multi-step workflows for renters and brokers, informing an MVP that reduced workflow steps by 40% and improved task completion rates during testing.
Analyzed usage patterns and pain points to identify 5 high-impact workflows critical to broker operations,reducing workflow steps by 40% and improving task efficiency during MVP prototype testing.
UX Designer Intern, MakeMyTrip , Gurugram , India
February 2023 - October 2023
Redesigned the bus pre-booking confirmation flow end-to-end, considering all use cases and increasing user engagement by 25% through A/B testing with 14+ users. The improved design was scaled across additional domains within MakeMyTrip.
Boosted “My Wallet feature” click-through rates by 27% and reduced query turnaround by 10% by simplifying the post-booking flow using behavioral UX principles.
Collaborated cross-functionally with PMs, engineers, and research teams across 12+ projects to align on product strategy and interaction design, delivering improvements for a platform used by over 81.5M monthly active users.
Skills Stack
Figma + FigJam + Figma Make
Framer
Miro Whiteboard
Adobe Creative Cloud
Cursor
Lovable
Tableau
Confluence
User-Testing
Slack
Jira Management
Education
Master of Science Human Computer Interaction, Indiana, Bloomington
May 2026
Fall 2025 : Teaching Assistant for SPH-B 250 and SPH-B 150 at the School of Public Health, managing a class of 90+ undergraduate students
Spring 2026: Teaching Assistant for C290 History of Computer and Computing at the Luddy School of Informatics and computing, managing a class of 25+ undergraduate students, guided students with coursework and solved doubts and queries students had related to assignments.
Research Assistant | Luddy School of Informatics Indiana University, September 2025 - December 2025
Conducted heuristic evaluation, competitive analysis and 12+ stakeholder and developer interviews to identify top usability barriers in older adults’ ride-booking flows, synthesizing findings into 5 priority UX problems for clearer task execution.
Designed simplified, high-contrast UI layouts that improved discovery by 40%, enhancing clarity and trust for aging users navigating mobility interfaces.
Created onboarding flow and visual guidance improvements aimed at increasing adoption by 15–20%
Bachelor of Engineering Computer Science (AI & ML) , India
Graduated 2022
Led design team of 5 designer for a 3 days MUN event, delegated 60+ participants over 3 days event.
