Jul 2024 – Jan 2025 · 6 mos · Bengaluru, Karnataka, India · Hybrid

• Worked as a Backend Engineer for creation and maintainability of platform which dealt with the pricing adjustments for different supplier products across scale.

Mar 2022 – Jul 2024 · 2 yrs 4 mos · Bengaluru, Karnataka, India

• Part of a highly dynamic and fast-paced team that handles the retention and engagement of Flipkart’s customers through the Plus and Supercoin ecosystem.
• Played a pivotal role in the Loyalty revamp program across the Flipkart+ ecosystem, through its Plus 2.0 initiative, which led to > 3% GMV uplift for most BUs at FK level.
• Worked on Supercoin Boosters Initiative, to provide extra Supercoins cashback to customers, over and above base coins, which gave an annualized BL of 30 Cr, and a 56% increase in coin burn/earn.
• Performed various optimizations in one of the services, in the Product Page call graph, and scaled it to handle 10x of QPS, without any extra hardware requirement.
• Worked on developing the archival strategies for some of the services in the nick of time and helped the data size get reduced to 1/3rd of the original.
• Performed the cache migration from the in-house aerospike cluster to the central PAAS offering without downtime.
• Involved in regular on-calls, in which one is expected to provide solutions to various customer escalations and technical issues.

Aug 2020 – Mar 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India

• Worked under a dynamic team, under Mass-Scale Infrastructure (MIG) Group, to develop Automation for Cloud Native Broadband Network Gateway (CnBNG) for IOS-XR.
• Part of a team that developed the complete CnBNG automation for the scenarios defined from scratch, and successfully rolled out regression support for 5+ new features for the CnBNG.
• Created the core infrastructure for handling a new type of OS - cloudnative, for handling the cloud-deployed Control Plane, in the CQE environment from scratch.
• Responsible for maintenance and support for an internal Webex chatbot application, used across the BU and Feature Tracker WebApp used by managers/VPs.

Jan 2020 – Jun 2020 · 5 mos · Bengaluru, Karnataka, India

May 2019 – Jul 2019 · 2 mos · Pune/Pimpri-Chinchwad Area

• The project aims to model the variations in the Zernike Coefficients due to the misalignment of the optical components of the telescope, and then apply various Machine Learning algorithms to accurately predict the exact component having the misalignment and the actual misalignment.
• This tool is proposed to be used in the Solar Ultraviolet Imaging Telescope (SUIT), one of the payloads of the Aditya-L1 mission of Indian Space Research Organization (ISRO)
• Tech Stack- Python: ZOS-API wrapper for Python, Keras, Scikit-Learn, Matplotlib