Feb 2022 – Jan 2025 · 2 yrs 11 mos · India

• Viva Learning:
• Worked on building premium features, Copilot Academy, and data compliance framework for GDPR needs for Viva Learning, champion app of Microsoft Teams.
• Involved heavily with Client and Service side Performance testing and perf work items.
• Microsoft Dynamics 365 for Sales and Sales Insights:
• Developed and managed client side code, microservices and machine learning pipelines for generating prediction data and scoring for sales teams through features like Sales Insights, predictive lead and opportunity scoring and Email insights.
• Contributed in dev effort during initial version of Sales copilot during its private preview.
• At dynamics, the work and responsibilities included enhancing service and infrastructure security by migrating more than 30 micro services to .net6, handling patches and deployments on Azure and fixing critical infrastructure issues (memory outages, processing job scheduling enhancements, network security, telemetry enhancements, build and deploy automation, alerting, developing Administrative APIs)

May 2021 – Jan 2022 · 8 mos

• Developed POCs for efficient data partition for complex RBAC based account boundaries and real time streaming using Kafka and Spark streaming.
• Anchored integration of data center cost metrics into Cloud health.
• Worked on onboarding any to any cloud vendors data ingestion and processing generically using data connectors, Web SDKs and flexible inbuilt reporting framework.
• Explored and delivered Federated Graphql APIs for different account related scenarios and leveraged KV DB design paradigms using DynamoDB.

Jan 2020 – May 2021 · 1 yr 4 mos

• Worked on Setting up billing framework for Business operations based on multi-dimensional cost data across the various clouds for all customers within the platform.
• Played a pivotal role in the Integration of Oracle (OCI) cloud into Cloudhealth, the multi-cloud financial cost management tool by VMware. Handled end-to-end implementation by delivering key features like Cost Drilldown, Cost Visibility, Data Reconciliation and handled workloads across varied sets of customers with multi-tenant and sparse data.
• Proficiently developed and managed distributed microservices; based out of Kubernetes, Spring Boot, Apache Spark, S3, and Kafka, and introduced robust monitoring, low maintenance paradigms. Also worked on frameworks based out of AWS Query tools (Redshift, Athena)
• Engaged the team in hackathons and innovation within the team.
• Got recognized for efforts and promoted to MTS-2.

Jul 2019 – Jan 2020 · 6 mos · Greater Bengaluru Area

• Worked on Developing distributed event notification systems for internal applications. Tech stack: Spring Boot, Apache Kafka, and Kafka Streams, ELK Stack, MongoDB, Docker, and AWS for microservices, ReactJS for UI and Jenkins and Git for the build.
• Assoicated with Data and API Innovation labs of Publicis Sapient by the implementation of emerging technologies for various business use cases. Developed modules for OAuth and Alexa Voice Skills. 🧿

Jan 2019 – Jun 2019 · 5 mos · Gurugram, Haryana, India

• Worked as a Software Development Intern for Rivigo's Prime Product Vertical.
• Mainly involved in development and platform enhancement of tracking portal which included entire trip information from driver allotment, live tracking, costing, and post-delivery steps.
• Delivered Document upload portal UI for end of trip document verification - took the feature to GA.
• Worked on React 15 to 16 Migration for the entire UI portal and common libraries.
• Worked with React, Redux, npm primarily. Also occasionally worked and optimised API responses and unit test suite for better code management and sanity.

May 2017 – Jul 2017 · 2 mos · Greater Hyderabad Area

• During my tenure as a Research Intern at DRDO, I worked on building toolkits for enhancing the traditional workflow in their calibration unit using preliminary ML and Data Analysis techniques and provided an interface for workflow enhancement. The toolkits and packages were developed using MATLAB and LabVIEW.