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Seattle, WA
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EMPLOYMENT
Microsoft Azure Data Software Engineer II Aug 2022 Present
Azure Database for MySQL
Developing MySQL auto-tuning framework using ML models to improve performance
Launched auto io scaling feature in collaboration with Azure Storage
Leads billing infra team responsible for tracking $xxx million of revenue stream across orgs
Developed compute, storage billing infra on Azure Kubernetes that improved cogs 50% and gross margin 22%
Developed telemetry backfill feature that saved more than $100k of revenue during outages
Set up Azure Logic Apps to automate production issues that improved incident count by 100%
Stood up telemetry infra for observability from zero to one
Implemented Linux Tracing Toolkit support in Azure Monitoring Service
Set up open-source and proprietary monitoring components for end-to-end flow of logs
Launched general availability of Azure Defender integration adopted by 70% of the servers to improve security
Mentored new hires (two junior engineers, two senior PMs) and onboarded a team of six to on-call rotations
Microsoft Azure Data Software Engineer I Feb 2020 Aug 2022
Azure Database for PostgreSQL
Developed tools to read LSN from Write-Ahead Log for ensuring consistency during failover for high availability
Developed APIs to remotely execute queries on the database engine and to monitor health
Developed a connector for Fabric platform that transforms Write-Ahead Log to Change Data Feed for analytics
Microsoft Office365 Software Engineer Intern May 2019 Aug 2019
Set up Microsoft Office infrastructure to measure customers last-mile network latency and throughput
Built PowerBI dashboards to visualize customer distribution on a map to detect regions of high latency
University of Utah Scalable Systems Lab Research Assistant Dec 2017 Dec 2020
Collaborated in development of multitenant, low-latency key-value store that saves roundtrips [Github]
Implemented cooperative scheduling to achieve median request-completion latency of 9 microseconds
Improved system throughput by 2x by implementing work-conservation based on power of two choices
Designed a novel scheme to adaptively onload and offload compute to and from storage
LUMS Pakistan Research Assistant Dec 2015 Jun 2017
Collaborated in development of an anomaly detection system based on collaborative VM communities
Implemented VMI techniques with Linux Perf and VMware tools to monitor syscalls from hypervisor
Built storage on Cuckoo Filter that allowed constant-time lookups and saved GBs of space vs raw logs
TECHNICAL SKILLS
Languages: C++, C# (5 years) C, Java, Rust, Python (2 years) Bash, Powershell (3 years)
Skills: Scalability, Reliability, Performance, Virtualization, Tracing, Large-Scale Systems, In-Memory Databases
Tools: Kubernetes, Docker, Visual Studio, MySQL, PostgreSQL, Linux, Git, Kusto, PowerBI, Fiddler
PUBLICATIONS
Splinter: Bare-Metal Extensions for Multi-Tenant Low-Latency Storage in USENIX OSDI 18 [PDF]
Anomaly Detection Fabric for Clouds Based on Collaborative VM Communities in ACM CCGrid 17 [PDF]
EDUCATION
MS Computer Science University of Utah Dec 2019
MS Computer Science LUMS, Pakistan May 2017
BS Computer Science FAST-NU, Pakistan May 2015
SIDE PROJECTS
In-Kernel Strace Tool: Developed using extended Berkeley Packet Filter (eBPF) for efficient in-kernel logs
Reliable Transport Protocol: Built over UDP using checksums, sequence numbers and acknowledgements
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