About me

I am a Research Scientist at Meta Reality Labs focused on accelerating machine learning inference on embedded devices. I received my Ph.D. in Computer Science from the Georgia Institute of Technology, where I specialized in Systems under the advisement of Dr. Taesoo Kim. My thesis, Taming Latency In Data Center Applications, is available here.

Experience

• Research Scientist 2019 — Present
  Meta Reality Labs

  Focused on accelerating machine learning inference on embedded devices. My work encompasses optimizing and deploying diverse ML architectures—including CNNs, RCNNs, RNNs, and transformers—onto resource-constrained hardware platforms. I leverage PyTorch and related frameworks to develop efficient model implementations and quantization techniques for edge deployment. Additionally, I partner with SoC vendors to architect NPU/eNPU specifications that enable more efficient and effective hardware solutions for on-device ML inference.

• Graduate Research Assistant 2014 — 2019
  Georgia Institute of Technology

  Specialized in Systems under the advisement of Dr. Taesoo Kim. Conducted research on distributed systems, operating systems, and network function virtualization. Also hold an M.S. in Computer Science from Georgia Tech and a B.E. in Computer Science from the University of Madras.

Publications

• ECOTLB: Eventually Consistent TLBs
  Steffen Maass, Mohan Kumar, Taesoo Kim, Tushar Krishna, and Abhishek Bhattacharjee.
  ACM TACO’20.

• SOLROS: A Data-Centric Operating System Architecture for Heterogeneous Computing
  Changwoo Min, Woon-Hak Kang, Mohan Kumar, Sanidhya Kashyap, Steffen Maass, Heeseung Jo, and Taesoo Kim.
  EuroSys’18, Porto, Portugal. (acceptance rate of 16.4%)

• LATR: Lazy Translation Coherence
  Mohan Kumar, Steffen Maass, Sanidhya Kashyap, Jan Vesely, Zi Yan, Taesoo Kim, Abhishek Bhattacharjee, and Tushar Krishna.
  ASPLOS’18, Williamsburg, VA, USA. (acceptance rate of 17.6%)

• Mosaic: Processing a Trillion-Edge Graph on a Single Commodity Machine
  Steffen Maass, Changwoo Min, Sanidhya Kashyap, Woonhak Kang, Mohan Kumar, and Taesoo Kim.
  EuroSys’17, Belgrade, Serbia. (acceptance rate of 20.5%) 🏆 Best student paper

• S-NFV: Securing NFV states by using SGX
  Ming-Wei Shih, Mohan Kumar, Taesoo Kim, and Ada Gavrilovska.
  SDN-NFV Security’16, New Orleans, LA, USA. 🏆 Best Paper and presented in NFV World Congress’16

• TCP Ordo: The cost of ordered processing in TCP Servers
  Mohan Kumar and Ada Gavrilovska.
  INFOCOM’16, San Francisco, CA, USA. (acceptance rate of 18.25%)

Posters

• mKPAC: Kernel Packet Processing for Manycore Systems
  Ramneek, Mohan Kumar, Taesoo Kim, and Sungin Jung.
  Middleware’18, Rennes, France.

• Network Function Fault Isolation in a Single Address Space
  Mohan Kumar, Steffen Maass, and Taesoo Kim
  NSDI’17 Poster, Boston, MA, USA.

• DistCoz: Tell Me What to Optimize in My Distributed Application
  Steffen Maass, Mohan Kumar, and Taesoo Kim
  NSDI’17 Poster, Boston, MA, USA.

• VNFStore: NFV State Externalizing Framework
  Mohan Kumar and Ada Gavrilovska.
  Diversity Workshop at SOSP’15, Monterey, CA.