Apr 2022 – Mar 2023 · 11 mos · India · On-site

• Working with the DynamicMedia team which helps in delivering rich visual merchandising and marketing assets on demand, automatically scaled for consumption on web, mobile, and social sites.
• ● AEM Dynamic Media is an add-on to AEM Assets. Dynamic Media is the next-generation evolution of Scene7 features on AEM. This consists of a Single-user interface and platform for managing images and video.
• ● Developed the authorization layer for an existing product, resulting in improved security and user access control with no major issues.
• ● Resolving complex customer issues by collaborating with cross-functional teams, analyzing data, and providing personalized solutions. Demonstrated strong communication skills by keeping the customer informed throughout the process and ensuring their satisfaction.

May 2021 – Apr 2022 · 11 mos · Bangalore · Remote

• Team: Supply Chain Tech | Replenishment | EDF
• Technologies Used: Java, Kafka, Lenses, Apache Spark, Cassandra, Oracle, Astronomer Airflow, Memcache, Dynatrace, GCS, DataProc, Big-query, Docker, Kubernetes, and GCP
• ● EDF is a distributed order calculation that is responsive to the real-time inventory position and other changes in inputs and is assessed as close to order creation as possible. It caters to multi-tenancy, smart scaling, the ability to handle multiple types of DCs, visibility to orders, plan, and accuracy.
• ● Worked on alert segregation, optimization of existing workflows, and alert prioritization across products, creation & deployment of data pipeline via DAGs in Airflow to put relevant data to the walmart data lake, International market rollout activities, and on-call responsibilities.

Sep 2020 – May 2021 · 8 mos · Bangalore

• Team: Retailio | Discovery and Promotions
• Technologies used: Spring Boot, JAVA, MySQL, Jenkins, Kafka, Docker, K8s, Instana, Kibana, Grafana, AWS RDS, AWS cloud watch, AWS S3, AWS Elastic Search, Algolia Search.
• ● Developed a feature "surprise cashback" to incentivize the user via scratch card (similar to Google Pay) which later gets credited into the user's wallet in exchange for engaging with the app to bring an element of surprise to transact more on the platform, to drive growth & engagement and the user retention on the platform.
• ● Leveraged the existing module to create/apply the loyalty offers for paid loyalty program RIO Club to ensure user retention and monetization.
• ● Actively participating in the HLD discussions across teams and presenting the weekly tech metrics to the stakeholders.
• ● Setting up the application core metrics tracking dashboards and relevant alerts for better application monitoring to achieve the end business goals.
• ● Part of the unicorn journey of the team/organization.
• ● Actively involved in the hiring process and mentoring.

Sep 2019 – Aug 2020 · 11 mos · Bangalore

• Team: Retailio | Discovery and Promotions
• Technologies used: Spring Boot, JAVA, MySQL, Jenkins, Kafka, Docker, K8s, Instana, New Relic, Kibana, Grafana, AWS RDS, AWS cloud watch, AWS S3, AWS Elastic Search, Algolia.
• ● Decoupled the offers module from the monolith Order Management Suite (OMS) into a separate microservice, for scalability and reliability. This service is responsible to create and apply all the hot deals, schemes, and promotional offers running on the platform. This service caters to all the flash sale traffic every Friday and has been managing this service single-handedly.
• ● Revamped the hot-deal place order experience for the user to improve the hot deals visibility on the app and promotion of the specific deals and also to give visibility to the upcoming deals on the platform to drive user engagement and better ordering experience.
• ● Developed an interface where the sellers can also create promotional offers for the buyers and removed dependency on the operations team to create them on the seller's behalf.
• ● Being a part of the early engineering team, actively involved in the hiring process and mentoring of new joiners.

Aug 2017 – Aug 2019 · 2 yrs · Bangalore · On-site

• Team: Skynet | Bizapp
• Technologies used: Restlet, JAVA, Mysql, Angular2, CSS, HTML, Jenkins, Docker, Google pub-sub, AWS S3 bucket, Git VCS
• ● Developed a sales unit buys/sale module, where the advertising agencies are enabled to buy the sales units from the broadcasters keeping the target GRP in place as per the pre-eval predictions at a relevant price post negotiation which is later on used by the agencies to run different advertisement campaigns across the clients.
• ● Developed a revise-order module, where the broadcasters are allowed to preempt some spots and also do the make-good for those preempted spots. Also, in case the order is not performing as per the pre-eval predictions then the platform smartly suggests some additional delivery units (ADUs) to reduce the shortfall in the target GRP.
• ● Developed a new microservice, Stockist which enables buying inventory in bulk from channel networks and reselling it to agencies with a premium. Our platform provides the functionality where stockist user is able to distribute these sales units across the agencies/advertisers with some premium. Agencies/Advertisers can also plan a campaign using the received distributed sales units.
• ● Worked on the improvements and enhancements on the programmatic platform for the broadcasters which enables them to intelligently execute and monitor the multiple release orders received from various agencies across multiple channels and also efficiently sell the channel's inventory to the agencies.

Jun 2016 – Jun 2016 · 0 mo · Mumbai, Maharashtra, India · On-site

• Team: UniRisx
• Tech Stack: JSP, Java, Hibernate, Javascript, CSS, HTML
• ● Worked on the bug fixes, improvements, and enhancements in the insurance product Unirisx, the leading SaaS/Cloud-based, high-value, global policy administration and exceptional underwriting technology solution, it enables Property & Casualty insurers and intermediaries to improve productivity, enhance profitability, streamline workflow, and increase customer retention rates through modern technology while maintaining the lowest total cost of ownership (TCO) in the insurance industry.