Sep 2022 – Jan 2024 · 1 yr 4 mos

• Worked with AWS Neptune
• Created entire AWS CloudFormation backend from scratch for the new service "Neptune Analytics” - launched during AWS re:Invent '23
• Helped launch AWS Neptune Data SDK which executed 50+ APIs supported in multiple programming languages
• Migrated CloudFormation Infrastructure for AWS Neptune service with zero downtime
• Added Serverless Support and In-place Engine Version Upgrade ability to AWS Neptune CFN during the process

Jul 2021 – Sep 2022 · 1 yr 2 mos · Bengaluru, Karnataka, India

• Worked on Incoming Payments, Buyer Refunds, and Payments Experience
• Online Payments grew by 100% during my time with the team
• Developed and maintained micro-services for receiving online payments from buyers including accepting, refunding, transferring, and reconciling funds
• Integrated and maintained multiple Payment Gateways(Razorpay, Cashfree, Phonepe) and Payment Aggregator(Juspay)
• Implemented Online Payments Capability during Checkout in Pacman category (Food, FMCG, Fresh) Single Buyer-Multi Seller Cart to promote online payments, decrease cash collection costs and faster refunds
• Enabled Online Payments Capability in Udaan's B2C counterpart - Wondermart
• Improved Settlement Report Generation P90 response time by 10x, and P95 response time by 6x
• Automated Payment Reconciliations, User Communication, Report Generations, etc
• Skills - Kotlin, Java, Kubernetes, Dropwizard, Redis, Azure Data Explorer, MySQL, CosmosDB, MixPanel, Market Research, Problem Solving
• Please contact for a detailed Resume

Apr 2021 – May 2021 · 1 mo · Bengaluru, Karnataka, India

• • Worked as a Backend Developer Intern to build product backend by writing Java based microservices using Micronaut and MySQL

Jan 2021 – Apr 2021 · 3 mos · Bengaluru, Karnataka, India

• Worked as a Software Engineer Intern in the Mobile apps development team working on the Furlenco iOS App
• Completed integration and debugging of Haptik iOS SDK and Deeplinks in the application
• Implemented custom Cookies and Cookie Store functionality in iOS to be used in client-side network call and A/B Testing.
• Worked on upgrading Online Payments flow to support scalability and future improvements

May 2020 – Sep 2020 · 4 mos · Mountain View, California, United States

• Mentored the project "A fast, cross-platform image loader in Swift", along with 2 core members of the Swift For TensorFlow team
• Benchmarked 10 C, C++, Python, & Swift Image Loading Libraries in Swift for TensorFlow using XCode Instruments and Flame Graphs to set a baseline for Image loading and saving processes analysing memory leaks and resource requirements
• Integrated JPEGTurbo in S4TF Models API using CMake - 2x improvement
• Tested Image loading for GPU Accelerated Ops using Google Cloud Compute Engine & found a 36x improvement through Nvidia DALI

Nov 2019 – Jan 2020 · 2 mos · Mountain View, California, United States

• Mentored 300+ students learn the ins and outs of open source development, also provided support while finishing tasks
• Students worked on tasks that contributed work to TensorFlow API Usage Examples, UI, User Documentation, Swift docs, research, etc
• Contributed in adding S4TF Implementation of DCGAN in Official Swift for TensorFlow Models Repository

Aug 2019 – May 2020 · 9 mos · India

Aug 2018 – Jul 2019 · 11 mos · India

May 2019 – Aug 2019 · 3 mos · Mountain View, California, United States

• Worked with GoogleAI's "Swift for TensorFlow" Team to create Google Colab guides & tutorials for the framework
• Challenges included lack of resources to understand the framework, toolchain issues, frequent framework modification, & ongoing building of missing ecosystem APIs.
• Collaborated with Mentors - Paige Bailey (Product Manager, TensorFlow, Google), Brad Larson (Senior Software Engineer, Google) & Richard Wei (Software Engineer, Google) for constant communication and community outreach.

May 2019 – Jul 2019 · 2 mos · Rourkela, India