CV

Performance Engineer

NetApp

• Optimizing performance of AIDE (AI Data Engine), a distributed platform for ingesting, cataloging, and serving enterprise storage data for AI workloads

Performance and Capacity Engineer

Meta Platforms, Inc.

• Optimized rack power budgets for multiple AI-inference hardware programs, yielding $100M/year in data-center OpEx savings and a standardized budget-optimization framework across Meta’s AI infrastructure hardware programs
• Drove cross-functional work to raise the power limit of GPUs used by recommendation services, cutting required GPU capacity by 7% with no increase in power budget ($400k/year benefit)
• Delivered power budget for flash-storage racks providing 7.3 EB of storage to support GenAI training
• Delivered power budget for flash-storage racks providing 9.9 EB of storage to support MySQL and other services
• Redesigned the Power Sufficiency Simulator pipeline, increasing input accuracy and reducing Thrift service dependencies by 77%
• Created a machine-level power-estimation methodology for power-capped machines, improving power-capping efficiency by 11% or reducing overage risk by 0.15%, depending on the scenario
• Developed a technique to estimate power at the power-device level from host-level metrics, reaching 99%+ accuracy and eliminating 0.9%-6% estimation error across power-device types
• Improved idle-host power-usage estimation accuracy by up to 31%, strengthening rack-level budget planning

Research Intern

Cloud Operations Research (CORE), Microsoft Research

• Designed Kerveros, a novel Azure admission-control system reaching 95%+ utilization at 99.9%+ availability in production; deployed in Azure and published at OSDI 2023

Research Intern

Gray Systems Lab (GSL), Microsoft

• Built realistic Azure HDInsight benchmarks by reconstructing Spark workloads from query traces; generated privacy-preserving synthetic datasets

Research & Teaching Assistant

Pennsylvania State University

• Research on cloud-systems evaluation methodology (publications at EuroSys 2024 and 2021)
• Teaching assistant for multiple undergraduate courses

Junior Software Engineer

Reve Systems

• Prototyped a machine-translation system supporting Bangla and 25 additional languages
• Built a Bangla NLP platform prototype (machine translator, spell checker, and more)

Ph.D.

Pennsylvania State University

Computer Science and Engineering

• Dissertation: Improving the Fidelity of Trace-Driven Experiments in Cloud Computing Systems
• Advisors: Prof. Timothy Zhu and Prof. Bhuvan Urgaonkar
• Published at OSDI, EuroSys (×2), and ACM TOCS

B.Sc.

Bangladesh University of Engineering and Technology (BUET)

Computer Science and Engineering

• Technical Scholarship recipient

Best Paper Runner-Up Award

EuroSys 2024

Awarded for TraceUpscaler at the 19th ACM European Conference on Computer Systems (acceptance rate ~17%)

Student Grant

EuroSys 2024

Student Grant

USENIX OSDI 2023

Student Grant

USENIX OSDI 2020

Registration Grant

ACM SIGMETRICS 2021

Student Travel Grant

ACM Symposium on Cloud Computing (SoCC)

Student Travel Grant

ACM Symposium on Cloud Computing (SoCC)

Technical Scholarship

Bangladesh University of Engineering and Technology