Experience
Professional experience in performance engineering, cloud systems, and AI infrastructure.
2026
Jan 2026 – Present
Performance Engineer — NetApp
San Jose, CA
- Optimizing performance of AIDE (AI Data Engine), a distributed platform for ingesting, cataloging, and serving enterprise storage data for AI workloads.
2024
May 2024 – Jan 2026
Performance and Capacity Engineer — Meta Platforms, Inc.
Menlo Park, CA
- Optimized rack power budgets for multiple AI-inference hardware programs resulting in $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 resulting in 7% reduction in GPU capacity required 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.
2022
May 2022 – Aug 2022
Research Intern — Cloud Operations Research (CORE), Microsoft Research
Redmond, WA
- Designed Kerveros, a novel Azure admission-control system → 95%+ utilization at 99.9%+ availability in production; deployed in Azure and published at OSDI 2023.
2021
May 2021 – Aug 2021
Research Intern — Gray Systems Lab (GSL), Microsoft
Redmond, WA
- Built realistic Azure HDInsight benchmarks by reconstructing Spark workloads from query traces; generated privacy-preserving synthetic datasets.
2018
Aug 2018 – May 2024
Graduate Research & Teaching Assistant — Pennsylvania State University
University Park, PA
- Research on cloud-systems evaluation methodology (publications at EuroSys 2024 and 2021).
- Teaching assistant for multiple undergraduate courses.
2017
Oct 2017 – Jul 2018
Junior Software Engineer — Reve Systems
Dhaka, Bangladesh
- Prototyped a machine-translation system supporting Bangla and 25 additional languages.
- Built a Bangla NLP platform prototype (machine translator, spell checker, and more).