Hey, I am Nipun Pruthi

Experience

1. 

   Senior Software Engineer @ Ixigo.com

   August '24 — Present

   Designed and built systems end-to-end: MoneyOS (coupon lifecycle platform) and Ixi-Sense (clickstream & cohort). Service owner for high-throughput coupon engine and real-time personalisation; leads cross-functional delivery.

   Gurgaon, India

   JavaSpring BootMySQLPostgreSQLRedisKafkaAWSClickHouseKubernetesJDBIFlywayPrometheusResilience4j

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   MoneyOS — Coupon Lifecycle Platform

   • Impact: 20M+ daily requests across Hotels, Trains & Flights; 10–15% lift in Search-to-Booking conversion. Campaign time-to-market improved by 80%.
   • Impact: Safeguards 100+ live campaigns during deployments with safe rollback; zero-downtime releases with full redemption lineage for analytics.
   • Fully configurable coupon management system: rules, reward types, and campaign behaviour driven by config—future-ready for new products and offers without code changes.
   • Service owner end-to-end: apply/claim lifecycle, UI APIs for coupon and payment-offer management. Led cross-functional pod; scaled for flash-sale and peak loads.
   • Tech: Java, Spring Boot, MySQL, Redis, Kafka, Kubernetes.

   Ixi-Sense — Clickstream & Cohort Management

   • Impact: Powers real-time personalisation for 3 consumer lines of Business (ixigo, AbhiBus, ConfirmTkt). In-house alternative to third-party cohort/clickstream tooling; full control over schema and rules.
   • Impact: Enables product and growth teams to define and update cohorts and rules without code changes.
   • Designed and built from scratch: first-party clickstream ingestion, dynamic rule-based cohort engine (AND/OR rule DSL, polymorphic model, flow-based validation), and low-latency APIs for personalisation.
   • Built end-to-end clickstream pipeline: ingestion from ClickHouse, schema sync (upsert/merge), UI metadata APIs for dropdowns and rule-building.
   • Performance: virtual threads for parallel schema fetch and background merge-sync; bulk upserts (PostgreSQL ON CONFLICT) for high-volume key sync.
   • Tech: Spring Boot 3, JDBI (no ORM), Flyway, Feign, Actuator/Prometheus; Spotless and test coverage.
2. 

   Senior Software Engineer @ www.Tide.co

   September '23 — April '24

   Backend ownership of payment integrations and reconciliation. Shipped features that improved reliability and cut manual ops; led documentation for legacy services.

   London, UK (Remote)

   JavaSpring BootPostgreSQLScyllaDBRedisKubernetesDockerKafkaAutorekIntelliJ

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   Cashfree Payments Adapter

   • Impact: Prevented production downtime during upstream settlement failures; real-time pool balance visibility enabled ops to keep 5L+ customers unaffected.
   • Impact: Improved overall app robustness when instant-funds-settlement broke.
   • Service owner and maintainer; streamlined Add Funds flow and built pool-account-balance visibility at M2P (licensed wallet entity).
   • Tech: PostgreSQL, Java, Spring Boot, Kubernetes, Docker.

   Reconciliation Service

   • Impact: Cut developer intervention to ~10% weekly; saved 20+ hours per week across the team.
   • Impact: Reduced manual reconciliation work for ops and dev; discrepancies handled autonomously.
   • Designed and maintained autonomous reconciliation between local wallet DB and M2P; added agent APIs for ad-hoc runs.
   • Tech: Autorek, PostgreSQL, Java Spring, Kubernetes.

   Legacy code and services documentation

   • Impact: Smoother knowledge transfer and faster onboarding for new team members.
   • Documented legacy payments service, wallet-payments-adapter and payment-gateway-adapter.
3. 

   Software Engineer @ Flipkart.com

   May '21 — September '23

   Designed and owned backend services for catalog compliance and inventory visibility. Shipped policy and legal-metrology flows; built systems that prevented non-compliant sales and surfaced non-live inventory. Drove NFR and load testing for BBD.

   Bangalore, India

   JavaDropwizardSpringKafkaMySQLMongoDBHBasePythonLocust

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   Policy Master

   • Impact: Prevented non-compliant products worth ₹500Cr from being sold, avoiding legal exposure.
   • Service owner: designed HLD/LLD and implemented from scratch to manage products with expired licenses.
   • Tech: Kafka, MySQL, Java Dropwizard.

   Legal Metrology

   • Impact: Made Flipkart’s product portfolio legally compliant per new government guidelines (country of origin, importer/manufacturing address).
   • Contributor and maintainer; designed and implemented backend flow for Legal Metrology data for sellers.
   • Tech: MongoDB, MySQL, Kafka, Java Dropwizard.

   Non-Live Products Dashboard

   • Impact: Surfaced ~₹3Cr/month of offline warehouse inventory to go live instead of expiring or sitting idle.
   • Component owner: designed and implemented service from scratch showing inventory in warehouse but not on Flipkart.
   • Tech: Java Spring, HBase, MySQL.

   Big Billion Day (BBD) preparation

   • Impact: Supported BBD’21 crossing ₹20K Cr in sales via reliable, load-tested critical APIs.
   • Automated NFR and load testing of critical APIs before BBD; used Python, Locust, Java.

   Reliability and operations

   • Drove KTLO discussions and system improvements; resolved production issues during on-call.
4. 

   Software Engineer @ Texas Instruments

   July '20 — April '21

   Embedded systems and software development.

   Bangalore, India

   CC++PythonEmbedded Linux

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   Embedded platform firmware & tooling

   • Developed firmware and tooling for embedded platforms.
   • Wrote tests and documentation.
   • Collaborated with hardware teams on validation.