Dec 2024 – Jul 2025 · 7 mos · Bengaluru, Karnataka, India · On-site

• My Team: LMS - CBS, the cash cow of Slice, handling a disbursal volume of $100 million per month. We are the only bank in the country with our own in-house Core Banking System.
• made loan part of core banking system highly available by decoupling multiple inter linked tightly coupled systems in lagecy system running on play framework ( java & scala )
• Tech stack : java, spring boot.

Feb 2024 – Dec 2024 · 10 mos · Bengaluru, Karnataka, India · On-site

• Built an Identity Resolution System (Unified User Profiles) :
• I designed and implemented an identity resolution system using Disjoint Set Union (DSU) algorithms to merge fragmented user profiles from different social platforms like Twitter, Farcaster, and Lens. This unified over 10,000 missing social data points, enriched existing profiles, and improved our friend-recommendation algorithms by 35%, driving user engagement. Additionally, new users would see profiles for 60–70 connections before their friends even onboarded, which provided a surprising and delightful experience, helping us improve retention.
• Polymarket Integration :
• I led the first-ever successful integration in web3 for Polymarket, one of the world’s largest decentralized betting markets. Within one week, I developed an end-to-end solution that decoded blockchain data, verified it, and displayed it to users in just 200 seconds from the time of block addition. The integration also introduced unique features, such as multi-level wallet searches, something even Polymarket's native platform couldn't achieve.
• Resolved Major Deadlock Issues:
• I tackled a frequent problem with database deadlocks by creating a deadlock-free bulk create and update wrapper to handle large volumes of user data. This solution led to a 99% success rate of resolving deadlocks automatically, ensuring smooth operation even under high-load conditions.
• Scalable Job Scheduler for Large Background Processing :
• I developed an Auto-Scalable Recursive Binary Splitting Range Scheduler capable of processing 30,000–40,000 background jobs per minute, reducing some processes from 30 minutes to just 1 minute. This solution used logarithmic scaling (O(logN)) to ensure maximum efficiency while processing large amounts of data quickly.
• Scheduled and Draft Post Infrastructure :
• I built a scalable system that allows users to schedule and draft posts, including cross-platform scheduling.

Jul 2023 – Oct 2023 · 3 mos · Australia · Remote

• Worked on Endo45 Project from start to final launch product, a women's healthcare app of an early-stage startup
• ◦ Personalized Notification system:
• Significantly contributed to the development of a highly scalable notification system leveraging Serverless Lambdas and incorporating pub-sub concepts for seamless event-driven notification delivery
• ◦ Codebase Refactoring:
• Revamped codebase for performance optimization, enhancing readability, and elevating overall code quality of multiple resources resulted in improved response times upto 5 times, and a reduced load on the database
• ◦ Proxy Microservice:
• Engineered a Proxy Microservice for efficient management of third-party Strapi Client data in CMS Strapi. Implemented selective data filtering and caching to reduce network load, optimizing system performance.
• ◦ Added caching layer:
• Implemented multiple caching layer to optimize performance, ensuring expedited results and improved response times within the microservices ecosystem.
• ◦ Microservices integration :
• Harmonized the integration of multiple microservices via REST APIs, employing advanced design patterns and object-oriented principles. Consolidated operations into dedicated client files within each microservice, optimizing communication with other services and APIs for enhanced efficiency and maintainability.
• ◦ Automated API Documentation :
• Automated the generation of robust API documentation using Swagger on OpenAPI 3.0 standards, enhancing collaboration, and simplifying future maintenance.
• ◦ Code Quality Acknowledgment:
• Received commendation from the Head of Engineering for consistently delivering high-quality code, demonstrating strong adherence to best practices, and contributing to overall project excellence
• ◦ Techstack:
• NestJS framework, TypeScript, Postgres SQL, TypeORM, Swagger, Postman, Git, GitHub,
• Confluence, Jira, GCP