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@tradingview

Staff Product Designer at Swiggy, shaping its delivery platform and reducing delivery partner wait times by 14%.

India
Message

At Swiggy, I work on the hyper-local delivery platform, balancing the needs of consumers, merchant partners, and delivery executives. I designed order-batching and fleet-routing visualizations that reduced delivery partner wait times by 14%.

At Razorpay, I owned the architectural evolution of the core checkout platform and merchant routing engines. Re-engineering the checkout interface infrastructure drove a 2.4% uplift in conversion rate.

At Zomato, I designed and scaled a self-serve merchant portal that reduced average catalog update latency from 48 hours to under five minutes. I also worked on restaurant menu ingestion, inventory synchronization, and search transparency.

Experience

Work history, roles, and key accomplishments

Swiggy logoSW
Current

Staff Product Designer

Swiggy

Jan 2022 - Present (4 years 10 months)

Spearheaded core platform design across the end-to-end hyper-local delivery engine, balancing incentives and operational dynamics between consumers, merchant partners, and 300k+ gig delivery executives. Architected dynamic order-batching and fleet routing visualizations, reducing delivery partner wait times by 14% and increasing order fulfillment resilience during peak operational spikes.

Razorpay logoRA

Principal Product Designer

Jan 2020 - Jan 2022 (2 years)

Owned the architectural evolution of the core checkout platform, custom merchant routing engines, and high-frequency merchant onboarding systems processing billions in transaction volume. Re-engineered checkout interface infrastructure to support micro-optimizations, driving a 2.4% uplift in overall conversion rate across international and domestic card networks.

Education

Degrees, certifications, and relevant coursework

BS

B.Sc. in Mathematics, Physics & Computer Science

B.Sc., Mathematics, Physics & Computer Science

Grade: First Class Distinction

Built foundational analytical modeling, algorithmic thinking, and statistical deduction capabilities directly informing data-intensive systems design.

Tech stack

Software and tools used professionally

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