Headline

Backend Engineer @Swiggy | Built Loyalty System Driving ₹18Cr/Mo | 1x MVP | 1x Swiggstar | Golang • gRPC • Distributed Systems

About

I build backend systems at Swiggy serving millions of users daily. I architected a loyalty program from scratch that now generates ₹18 Cr monthly across 87K+ restaurants, improving retention by 20% and conversions by 5%. I also led the migration of Node.js service to Golang, reducing booking latency by 18% for 10M MAUs. My work focuses on Golang, gRPC, Kafka, Redis, and DynamoDB, designing scalable distributed systems and improving observability with Prometheus and Grafana. I started as an intern at Infra.Market, later joining Swiggy in 2023 to work on large-scale backend systems. I enjoy solving distributed systems and performance optimization problems and am always open to discussions around backend engineering and system design.

Location

Greater Bengaluru Area

AI stack

claude code

claude

cursor

Work experience

Software Developer at Swiggy, Dec 2023 - Present · 2 yrs 9 mos, Bengaluru, Karnataka, India, • 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Migrated 25+ APIs for the deal life cycle (creation, blocking, updation, flash deals, bulk creation) from Node.js to Golang, improving scalability and performance. • 𝐋𝐨𝐲𝐚𝐥𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: Built and launched a loyalty program from scratch, integrated with Dineout’s transaction flows, now live across 87k+ restaurants. • 14-day retention: ↑20% • Repeat rates: ↑3–4% (after a year-long plateau) • Conversion: ↑5%, driving ~₹18 Cr GOV/month Impact: Increased transactions at non-discount restaurants, strengthening adoption. • 𝐃𝐢𝐧𝐢𝐧𝐠 𝐛𝐨𝐨𝐤𝐢𝐧𝐠 𝐀𝐏𝐈 : Designed and implemented a gRPC contract to fetch data for multiple widgets concurrently, reducing latency on the Dineout slot booking page by 18%, enhancing overall user experience. • 𝐆𝐈𝐑𝐅 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Delivered a scalable solution for the GIRF event, enabling validation for deal visibility and purchases, along with a bulk upload feature capable of handling 2,500+ items simultaneously. • 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: Published key Prometheus metrics and built dashboards using PromQL, enabling effective on-call monitoring and faster issue resolution. • 𝐄𝐯𝐞𝐧𝐭 𝐅𝐥𝐨𝐰 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Streamlined Swiggy Scene's event flow by integrating new event workflows, allowing seamless creation of single and multi-day events. Developed a Kafka topic to sync event day changes across all CRUD operations. • 𝐎𝐧-𝐂𝐚𝐥𝐥 𝐃𝐮𝐭𝐲 & 𝐒𝐲𝐬𝐭𝐞𝐦 𝐒𝐭𝐚𝐛𝐢𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 • Tech Used: PromQL, Grafana • Reduced weekly system alerts from 100+ to 40, significantly improving uptime and overall system stability. •.Built dashboards to track system health and monitor abnormalities, which enabled proactive issue detection, improving system stability.

Engineer at Infra.Market, Jul 2023 - Dec 2023 · 5 mo, Bangalore Urban, Karnataka, India

Intern at Infra.Market, Nov 2022 - Jul 2023 · 8 mo, Bengaluru, Karnataka, India

Global Virtual Intern at RadicalX, Jan 2022 - Mar 2022 · 3 mos, New York, United States (Remote)

Alpha team member at Google Developers, Feb 2021 - Nov 2022 · 1 yr 10 mos, Jalandhar, Punjab, India

Education

Bachelor's degree, Computer Science, Lovely Professional University

Public links

github: https://github.com/pankaj-889

leetcode: https://leetcode.com/Dark001