Amandeep Singh Email & Phone Number

Kirkland, Wa, Us

Redmond, Washington, Us

My teams are responsible for driving the following charters across Azure:• Shaping how we externalize metrics to 1p and 3p Azure customers• Metrics streaming • Continuous bulk real-time metrics batch exporter• SLO/SLI platform• Control plane for metrics• Realtime outage detection and impact analysis powered by real time metrics • Building near real time telemetry analytical store - SLO/SLI Store• Faster Autoscale powered by real time metrics • Driving metrics dimensionality standardizations across Azure• Metrics billing• Realtime metrics enrichment

Redmond, Washington, Us

• Shaping how we externalize platform and custom metrics to Azure 3P customers • Driving convergence of our monitoring platforms and evolving into systems intelligence, working with respective engineering teams

Redmond, Washington, Us

Signal Fabric (AI/ML, Xpert, Lexi):• Bringing together Signal Fabric, Lexi, and AI/ML efforts in Asimov and enable the platform capabilities in our Observability products. • Adding system intelligence on top of the wealth of telemetry, metrics and data models in Azure. • Enabling contextual ranking of observability signals in Azure Monitor and Jarvis. • Driving convergence of our monitoring platforms and evolving into systems intelligence, working with respective engineering teams• Team will be driving architecture evolution and incubate new ideas working across PIE.

Redmond, Washington, Us

• Career and technical lead for junior engineers in the team and managing developer efforts and setting technical strategies for improvements across the pipeline.• Strong inter-team collaborator able to drive requirements and changes with partner teams.• Designed and implemented federated data provider used to integrate with other data sources for normalized data enabling core native system features to be applied to non-system sourced data. Drove cross organizations collaborations onboarding new partners and new data sources to our data platform.• Collaborated and influenced across organizational boundaries to implement unified data access layer targeting multiple telemetry collection pipelines across Microsoft, creating a single point of data access for all WDG and XBOX.• Designing and implementing API gateway for the data platform system and leading the effort to make Xpert available over internet.• Experience in extensive data transformation and post processing.• Designing and implementing next-gen on-demand lambda processing, which supports heterogeneous data provider sources.• Implementing and providing native support for signal processing algorithm using on-demand data transformation layer. • Designed and implemented self-serve onboarding solution eliminating manual process and reducing onboarding time from 1 day to 10 minutes. • Influencing system design of partner team for creating a successful integration story of data service model and Xpert.• Migrated configurations of Xpert and of over 2000 onboarded services to git, resulting in increased config propagation velocity.

Redmond, Washington, Us

• Added query grouping/batching capability to data access layer of the platform by extending query parsing language, thereby reducing client to service request rate and improving call latency for a better user experience.• Implemented on-demand lambda queries over data access layer, also supporting recursive lambdas.• Designed and implemented on demand data transformation layer over data access layer.• Extended the partition manager to define explicit partition rings, which allows defining private rings for data which is expensive to process.• Improved developer experience for streaming queries by implementing several query language operations.• Implemented cost tracking (memory/execution) for streaming queries.• Designed and implemented notification service on top of alerting service to notify users regarding expiring components and invalid data query processing• Led capacity planning efforts for ASIMOV core services (vortex, xpert, etc.). Built capacity models, implemented performance tests, as well as executed and analyzed stress runs. Set the standard for how to perform capacity planning, with several teams inside and outside the Xbox organization adopting our methodologies and templates.• Investigated and fixed several live site issues while on-call.• Selected to present Xpert’s work in a Tech Talk with Eric Lockard, CVP, Universal Store

Redmond, Washington, Us

• Designed and implemented a generic load generating service that was leveraged by teams within XBox division for determining service release readiness and data integrity.• Independently drove and automated the real-time data platform's capacity testing and partnered closely with other partner services to drive end-to-end integrated performance.• Core contributor to virtual teams, responsible for delivering numerous tools that were built on data platform's knowledge. Tools were used to help drive service readiness for Xbox One release and promoted data platform's adoption throughout organization.• Top contributors to platform's discussion alias.• Improved quality of data platform by identifying and tackling product issues, scaling issues and performance challenges, and maintaining data integrity across the pipeline by implementing Xpert’s first ever test framework. Worked independently with Devs/PM to understand un spec'd feature and added test coverage with no test collateral.

Redmond, Washington, Us

XBox BI (Interactive Entertainment Business) Enterprise Information Platform

Richardson, Texas, Us

Worked under Professor Dr. Kamil Sarac.Project: Internet Topology Mapper (IToM) is a project maintained at UT-Dallas, Department of Computer Science under the direction of Dr. Kamil Sarac.The aim of the project is (i) to develop theoretical and practical approaches to understand the characteristics of the Internet and (ii) to contribute into the collective efforts for drawing a better Internet topology map.My Role: Large Graph Sampling: Understanding the nature of any physical phenomenon which inherently forms a network or could be represented as a network is an important task. Such complex networks appear in various fields including biology, computer science, physics, and economics. Since working on the whole graph is either impossible or cost inefficient we seek for random sampling approaches of these graphs and estimators for their properties.

Dublin 2, Ie

Responsible to review design documents, develop software applications, review & create implementation plan and implementation related documents.Responsible for requirement gathering & analysis and coordinating between client.Responsible to develop software and web systems for Accenture's internal projects.Earned numerous recognitions from clients and Accenture's higher management for quality work, re-engineering and extra efforts.Client: TIA (The Insurance Application)Platform: Java, MySql, Oracle PL/SQLTools & IDE: Eclipse, Oracle Forms 10g, Oracle Reports 10g

Masters, Computer Science

B.E., Computer Engineering