Oct 2023 – Aug 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India

• Backend Engineering Projects
• Asyncr - Designed and developed Asyncr, a multi-tenant, event-driven asynchronous messaging platform over HTTP, designed for reliable system-to-system communication:
• Core Design & Architecture: Led HLD and LLD for key components including Ingestion, Consumers, and Admin APIs, ensuring a robust and scalable event-driven architecture.
• Service Development: Used kafka as a message queue and developed core Asyncr services from scratch in Java springboot, focusing on high availability, low latency ingestion, and efficient message processing.
• Kafka Connector Expertise: Built custom Kafka Connectors for Delivery Consumers to achieve tenant isolation and horizontal scalability, enabling dynamic consumer deployment and management.
• Reliability & Guarantees: Implemented ”at-least-once” delivery guarantee, message-level visibility and traceability, and fault tolerance mechanisms, ensuring reliable asynchronous communication.
• Cost Optimization Impact: Deprecated legacy infrastructure by replacing with asyncr, resulting in >$1000/month cost savings.
• Payment Systems:
• Engineered a Razorpay-based merchant onboarding system for KhataBook, enabling QR code payment collections for merchants. Automated payment splitting and auto-deduction mechanisms for efficient EDI (Equated Daily Installment) collection for lending product.
• Designed and developed a multi-tenant payment checkout feature to support diverse payment scenarios including EDI manual repayment, KhataBook subscriptions, and in-app coin purchases, enhancing platform versatility.
• Designed the Low-Level Design (LLD) for a UPI Autopay system, leveraging Temporal as a workflow orchestrator to manage the complete autopay lifecycle, from registration to payment presentation, laying the foundation for recurring payment capabilities.
• Took end-to-end ownership of payments and reduced the Live Issues (LIS) by 70%.

Jul 2022 – Sep 2023 · 1 yr 2 mos · Bengaluru, Karnataka, India

• Data Engineering Projects
• Snowflake Data Warehousing & Optimization: Spearheaded Snowflake cost optimization, reducing daily credit usage of one critical data pipeline by 75% and saving $1300/month. Automated unused table deletion, reclaiming 32TB of storage and saving $800/month.
• Data Ingestion & Processing Optimization: Re-engineered AB Properties Ingestion Pipeline to incremental Spark processing, reducing runtime by 90%. Engineered high-throughput Spark job for Feature Store ingestion, achieving 4.5k writes/second.
• Data Strategy & Data Pipeline Development: Built data pipelines for underwriting models, architecting ”Lending Fact” unified data view in Snowflake. Go to table for any sort of model development.

Jun 2021 – May 2022 · 11 mos

• Worked on breaking a monolithic application into a micro-service architecture.
• Customer Engagement Micro-service:
• Did low-level designing (APIs & Database) for customer-engagement platform service & implementation too.
• Omni channel. Supports SMS, PUSH, WhatsApp, Email channels.
• Integrated with multiple vendors for each channel (ex: Kaleyra for SMS & Whatsapp)
• Abstracts the complexities of vendor implementations & provides a unified interface (REST) for the internal systems within Findeed to automate customer communication
• Adding new channels & integrating with new vendors is as easy as writing another adapter. Extensive use of Adapter, Builder & Factory patterns
• Migrated internal systems to use the new platform without any issues or downtime.
• Payments Micro-service:
• Did low-level designing (APIs & Database) for a multi-tenant payment
• platform service and implementation too.
• Integrated with CASHFREE payment gateway.
• Abstracts the CASHFREE implementation behind an interface and exposes APIs for payment token creation( to be used by Android to initiate a payment),
• payment links, validating every payment with signature generation at our end.
• Integration with another payment gateway is just one more implementation of
• an interface.
• Automated payment reconciliation with NBFC.
• Scales to 100s of request per second. Collected EMIs worth Rs 41L since the
• deployment of this feature.
• Data Visualization And Reporting:
• Reduced the everyday manual effort of 2-3 hours to 0, earlier required by operations team to generate reports for their work.
• Automated 100s of graphs with the help of Apache Superset. Scaled from 0 to ~600 graphs in 3 months time.
• Supported several business use-cases like: Loan application funnel, Collections, Operational Efficiency etc.

Aug 2020 – Dec 2020 · 4 mos · India

• Worked on the backend of a food ordering services (QEats):
• Implemented a GET API to retrieve a list of nearby restaurants based on a user location.
• Implemented a search feature to search for restaurants and improved the search by 4 times by using multithreading.
• Worked on the backend of stock portfolio analysers(QMoney) and published it as a library on local maven repository:
• Used third party API(Tiingo) to calculate the annualized returns based on stock purchase date and holding period.
• Improved application reliability by using exception handling and comprehensive error reporting.

Apr 2020 – Aug 2020 · 4 mos · New Delhi, Delhi, India

• - Helped debug codes and provide better and optimum solutions for various algorithmic problems to the enrolled students and resolving their doubts.