Feb 2023 – Present · 3 yrs 2 mos

• Focussed on designing and building multiple micro-services with high availability and resiliency requirement with high scaling capacity, involved in the event delivery for multiple dependent micro-services in Cloud Tech organisation.
• Delivered low latency and mission-critical APIs, involving complex design, using MemoryDB and DynamoDB
• Led the redesign and optimisation of legacy architecture to standardise workflows, driving significant cost reductions and improving operational efficiency.
• Gained extensive hands-on experience with multiple databases, caching services, multiple java frameworks and other AWS services, to make logical decisions in system design and technology selection

Jan 2021 – Present · 5 yrs 3 mos

Feb 2019 – Jan 2021 · 1 yr 11 mos

• Experience in building up a service from scratch to production, working on development, resilient design of services, deployment & testing automation on AWS and Azure, multi-region across couple of micro services. Worked on Node JS and Java technology server stacks.

Jul 2017 – Feb 2019 · 1 yr 7 mos

• Oversaw two product releases for all four platforms. Handled platform upgrades for Android and iOS Adobe Digital Editions application to meet corresponding store requirements. Addressed software security issues across all the four platforms.
• Made the eBook product compliant to CCF and GDPR standards. Designed a real-time server application to show user’s product data in Adobe My Profile Page. Maintained the on-demand deletion framework hosted on SnapLogic environment.
• Interacted with customers to prioritize and address the prime issues. Delivered customized SDKs to customers according to their requirements.

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

• Developed an analysis library consisting of visual interpretation tools by fetching data from pre-existing database, performing data operations and interpreting the data visually to get a clear view of the product performance and other absolute parameters at different levels of the product, facilitating the work of engineers and data scientists
• Used different visual interpretation tools in addition to python libraries for efficient data retrieving and operations
• Set up Jupyter server and incorporated interactive widgets, enabling multiple people access from remote place
• Worked on an algorithm for finding similar ad campaigns by analyzing data at keyword, ad, campaign and portfolio levels, providing platform for AB testing, benefiting easy comparison between two deployed models