Aug 2020 – Jun 2025 · 4 yrs 10 mos · Bengaluru, Karnataka, India

• User Embedding Service – Leading the development of a high-dimensional user embedding service leveraging large language models (LLMs), vector search, and deep learning techniques to significantly enhance AI-powered search ranking, personalization, and intelligent automation across Atlassian products. Currently collaborating cross-functionally to deliver impactful improvements in product relevance and user engagement.
• Usage Tracking Service (UTS) at Scale – Actively designing and optimizing the Usage Tracking Service (UTS) to handle significant scalability demands. Implementing improvements to efficiently manage high traffic volumes, ensuring robust real-time AI feature integration, accurate usage metering, and reliable entitlement management for quota-based billing across Atlassian products.
• Commerce Cloud Platform (CCP) Development:
• Built Atlassian's CCP, leading to an increase in sales and revenue growth with a potential 10B Sales.
• Enabled flexible offerings and promotions.
• Led a huge number of EPIC, SPIKE, HLD, LLD, DACI and implementation
• Secured our resources with fine grained access control using RBAC, Drove the initiative of resource authorisation and adoption across multiple services
• Migration from Monolith to Microservices:
• Led migration, achieving a 20% improvement in system agility and a 25% increase in scalability.
• Implemented workflow management for cohort-based migrations.
• Architectural Leadership:
• Significantly contributed to a microservices-based architecture.
• Achieved a 30% increase in system reliability and 20% improvement in scalability.
• Performance Optimization:
• Resolved critical bottlenecks, reducing response times by 90%. Also, We have achieved 99.99% SLO from 99.95%
• Enhanced user experience with a 25% improvement.
• RBAC Implementation:
• Upgraded tech dependencies, including RBAC authentication.
• Ensured a 15% enhancement in security and compliance.

Jul 2018 – Aug 2020 · 2 yrs 1 mo · Bangalore

• MVAS Platform:
• Built the MVAS platform for PhonePe from the ground up, serving as the foundation for various merchant offerings (Merchant Bookkeeping, Cash In Cash Out, CRM), resulting in a ~30% increase in merchant traction.
• Cross-Service Collaboration:
• Led discussions with multiple Proof of Concept (POC) teams across different services.
• Drove necessary changes in the new system and coordinated with upstream and downstream services, including Payment Service, Identity, and Merchant services.
• Development of Khata and CICO Services:
• Developed Khata (Bookkeeping) and CICO (Cash In Cash Out) services.
• Utilized technologies such as Java Dropwizard, MySQL, REST, Aerospike, RabbitMq.
• Implemented crucial techniques including Sharding Strategy, Async processing, Report for failure cases, Finite State Machine, and Monitoring & Observability using Grafana and Prometheus.
• TOA Processing Automation:
• Automated TOA (Token of Apology) for deemed failure transaction processing for merchants, leveraging the company-wide TOA process.
• User Personalization Feature:
• Developed a user personalization feature supporting suggestion-based functionalities like Recent Scans.
• Implemented a data processing pipeline using Apache Spark, Airflow, Hive, and HBase.
• Executed ETL processes to handle data, enabling high-performance API with latency less than 50 ms.

Jun 2016 – Jul 2018 · 2 yrs 1 mo

• Implemented backward compatible versioned APIs to ensure smooth app upgrades with minimal impact for customers. Reduced customer churn rate by ~20%.
• Implemented multiple online payment methods in addition to online cash modes which lead to increase in GMV from $15M to $25M.
• Reduced home and product page load time by 30% and 35% respectively by introducing caching layers for aggregated data.
• Built user accounts and payments platforms for Zopper’s hyperlocal e-commerce offering
• Designed and developed backend online shopping functionality including order management, shopping carts, payments and user authentication modules
• Helped materialize strategic financial partnerships through integration of 10+ payment/loan providers into the backend payments framework.
• Lead a team with an initiative to containerise codebases using docker to increase efficiency and robustness of dev environments leading to a massive reduction in new environment setup time and effort.
• Secured financial applications by implementing audit logs for liability protection, risk management and compliance.
• Slashed support queries by over 50% by implementing refunds and transaction status checks using schedulers.
• Improved online payment success rates by 25% through dynamic switching of gateways using custom rules and health checks.
• Eliminated synchronisation delays for users by authoring an open source, multi-threaded, scalable SQS queue consumer package (github.com/arijeetmkh/hephaestus) leading to data ingestion throughput increase by 200%.
• Setup the backend event streaming, consumption and broadcast layers using AWS SNS and SQS. Achieved a real-time target of upto 2.5 seconds from invoice creation to its reflection into respective systems.

Jan 2016 – May 2016 · 4 mos

• Have learned various new technologies : python, flask, django. And worked on a number of projects related to price syncing pipeline, Order Management System, Delivery Management System.