Pranav Kumar

DevOps Engineer

Austin, Texas, United States9 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in machine learning and security for performance analysis.
  • Proven track record in hardware-based malware detection.
  • Architecting next-gen Intel servers for enhanced performance.
Stackforce AI infers this person is a Cybersecurity and Cloud Computing specialist with a focus on performance architecture.

Contact

Skills

Core Skills

Computer ArchitecturePerformance AnalysisMachine LearningSecurityMalware AnalysisData AnalysisSemiconductor Device

Other Skills

AlgorithmsCC++LaTeXMicrosoft ExcelMicrosoft OfficePowerPointPythonSystems ProgrammingTeamworkgem5

About

I am interested in computer systems in general and am currently leveraging that knowledge to architect the next generation of Intel servers for better performance!

Experience

9 yrs 1 mo
Total Experience
1 yr 11 mos
Average Tenure
6 yrs 10 mos
Current Experience

Intel corporation

Performance Architect

Jul 2019Present · 6 yrs 10 mos · Austin, Texas

Computer ArchitecturePerformance Analysis

The university of texas at austin

2 roles

Graduate Teaching Assistant

Aug 2018Jan 2019 · 5 mos

  • TA-ed EE382V, Security at the Hardware Software Interface (Instructor: Dr. Mohit Tiwari).

Graduate Research Assistant

Jul 2017May 2019 · 1 yr 10 mos

  • Performance Counters Based Software Anomaly Detection: Designed a machine learning based anomaly detector that models microarchitectural attacks as behavioral anomalies in terms of security-critical performance counters. Showed how these detectors can easily break via adversarial examples. Work presented at CFAR (UMich) , Samsung Austin and Western Digital .
  • Hardware-Based Malware Detection: Implemented a mechanism to detect side and covert-channel attacks in the microarchitecture via label propagation and subsequently locally detecting label contention violating a set of predefined rules on L1/LLC/BPred/MemBus and physical memory addresses. Additionally, a global detector reduced false positives.
  • Database of Side-Channel Attacks on gem5: For evaluation of such a hardware mechanism, implemented covert-channel attacks through caches, memory bus, branch predictor and also ported Rowhammer, Spectre attacks to AArch64 on gem5. Implemented two versions: standalone attacks and attacks leaking sensitive information from privacy-critical apps.
  • Contention in Function-as-a-Service (FaaS) Systems: Benchmarked AWS Lambda for various network, OS and compute (INT and FP) latencies and determined on an OpenFaaS-based system locally if contention between lambdas could be a performance bottleneck.
Machine LearningSecurityMalware AnalysisData Analysis

Arm

Research Intern

May 2018Aug 2018 · 3 mos · Austin, Texas Metropolitan Area

  • Proposed two new techniques: Context-Aware Cache Management and Cryptic Cache Architecture (WIP) for defending against same or different-core cache-based timing side channel attacks like Prime-Probe and Flush-Reload. Evaluated trade-offs between cache performance and security.
Security

New york university

Research Intern

May 2016Jul 2016 · 2 mos · New York City Metropolitan Area

  • Designed an optimal 10GHz RF power amplifier using a Gallium Nitride device model. Also, mentored a junior undergraduate on semiconductor device physics and quasi-ballistic transistor models.
Semiconductor Device

Indian institute of technology, kanpur

Undergraduate Researcher

Nov 2015Apr 2016 · 5 mos · Greater Lucknow Area

  • Implemented an 8-bit microprocessor and sound monitoring system on FPGA.

New york university

Research Intern

May 2015Jul 2015 · 2 mos · New York City Metropolitan Area

  • Designed an improved virtual-source based transport model for quasi ballistic transistors, the MIT Virtual Source model 2, in Verilog-A.

Education

The University of Texas at Austin

Master of Science - MS — Electrical and Computer Engineering

Jan 2017Jan 2019

Indian Institute of Technology, Kanpur

Bachelor's degree — Electrical Engineering

Jan 2013Jan 2017

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