I work on integrating AI into payments systems to enable smarter transactions, automate business workflows, and scale financial interactions across billions of users.

• Contributed to the development of Common GitLab Pipeline (CGP), a standardized and scalable CI/CD framework used across multiple teams and projects.

• Worked cross-functionally with product and infrastructure teams to ship full-stack features (React, JavaScript, Python,Kotlin) that improved developer UX and reduced deployment time.

• Integrated MLOps best practices by extending the pipeline to support ML model training, testing, and deployment workflows, ensuring reproducibility and faster experimentation cycles.

• Applied service oriented architecture and Object oriented design principles to develop complex distributed systems,ensuring code maintainability and scalability.

• Designed and implemented end-to-end observability for developers, enabling quick issue identification and resolution with distributed tracing which decreased API latency by 10%.

• Optimized development workflows and pipelines on Git and Azure DevOps, enhancing continuous delivery and integration for all services, saving the company $𝟮𝟬𝗞 𝘆𝗲𝗮𝗿𝗹𝘆 in cloud costs.

• Technologies used: Java,Golang, Terraform, AWS, Kubernetes, Kotlin, RabbitMQ, ElasticSearch, SQS/SNS

𝗘𝗖𝗙𝗧 - 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗳𝗼𝗿 𝗱𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀, 𝘀𝗲𝗿𝘃𝗶𝗻𝗴 𝗵𝗶𝗴𝗵 𝗤𝗣𝗦 𝘁𝗲𝗻𝗮𝗻𝘁𝘀 𝘀𝘂𝗰𝗵 𝗮𝘀 𝗔𝗺𝗮𝘇𝗼𝗻 𝗠𝘂𝘀𝗶𝗰, 𝗣𝗿𝗶𝗺𝗲 𝗩𝗶𝗱𝗲𝗼 𝗲𝘁𝗰.

• Implemented microservices in Python and Java powering data pipelines and platform APIs used by client applications across Amazon Music and Prime Video.

• Led the migration of AWS data centers from EU region to IN region in compliance with the new policy introduced by the Government of India.

𝗔𝗙𝗧 - 𝗔𝗙𝗧 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗱 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗔𝗺𝗮𝘇𝗼𝗻'𝘀 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 𝗮𝗻𝗱 𝗱𝗲𝗹𝗲𝗴𝗮𝘁𝗲𝗱 𝗮𝗹𝗹 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗼𝗿𝗱𝗲𝗿𝘀 𝘁𝗼 𝗽𝗿𝗼𝗽𝗲𝗿 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀.

• Built Python backend services and PHP/JavaScript dashboards enabling real-time communication between warehouse associates and fulfillment systems.

• Developed Python-based asynchronous solutions to address recurring issues, leading to a remarkable 30% reduction in incoming Sev 2 incidents..

• Technologies used: Kotlin, AWS DynamoDB, AWS RedshiftDB, ReactJS, Python, AWS Cloudformation.