Salman Khan profile photo 1 on Tal

Salman Khan

Site Reliability Engineer at Google

London

16+ years of work experience

Google
Apr 20233 yrs 5 mosPresent

London Area, United Kingdom

Network reliability and efficiency. Tech lead for SRE team that runs DNS for Google and GCP, and ingress and egress load balancing.
Google
Oct 20202 yrs 7 mosApr 2023

London Area, United Kingdom

Google
Oct 20173 yrs 1 moOct 2020

London, United Kingdom

KCG Holdings, Inc.
Feb 20161 yr 4 mosMay 2017

London, United Kingdom

Took a broad view of performance across trading systems and driving improvements. Part of a small person team driving a performance agenda across the firm. Involved regular collaboration with infrastructure, operations, software and FPGA development as well as trading teams. Hands-on work on measurement tools and infrastructure, monitoring, connectivity and optimisation of performance critical code. Benchmarking of vendor equipment including servers, network adapters, time synchronisation solutions etc.
Solarflare Communications
May 20132 yrs 10 mosFeb 2016

Cambridge, United Kingdom

Member of CTO’s staff. Part of small team architecting next generation network controller, which is the core technology for the company. Also contributed to technology strategy more broadly. Architecture for a range of network capture products, remaining hands-on and regularly checking in code in the process. Included frequent interaction with customers and partners. Previously member of the development team for an FPGA acceleration platform. This included work at all levels of the stack, from hardware architecture through firmware and drivers to host application software. Developed large parts of the co-simulation infrastructure.
University of Manchester
Mar 20103 yrs 3 mosMay 2013

Manchester, United Kingdom

Looked into ways of harnessing large scale parallelism on future manycore devices, using dataflow principles. Research included scalable Transactional Memory, scalable memory coherence and consistency models and their implementation, and appropriate programming models.
University of Edinburgh
20082 yrs2010

Edinburgh, United Kingdom

Explored the potential for Thread Level Speculation on a wide range of applications and using machine learning techniques to improve the performance of speculative execution.

What I'm currently working on

Vibecoded projects

GitHub
@agarwalpratyaksh

Salman’s AI Stack

antigravity
antigravity
deepmind
deepmind

Education

The University of Edinburgh

PhD, Informatics (Computer Architecture)

The University of Edinburgh

20055 yrs2010
The University of Edinburgh

MSc, High Performance Computing

The University of Edinburgh

20041 yr2005

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Headline

Site Reliability Engineer at Google

Location

London

AI stack

antigravity

deepmind

Work experience

Staff Site Reliability Engineer at Google, Apr 2023 - Present · 3 yrs 5 mos, London Area, United Kingdom, Network reliability and efficiency. Tech lead for SRE team that runs DNS for Google and GCP, and ingress and egress load balancing.

Senior Site Reliability Engineer at Google, Oct 2020 - Apr 2023 · 2 yrs 7 mos, London Area, United Kingdom

Site Reliability Engineer at Google, Oct 2017 - Oct 2020 · 3 yrs 1 mo, London, United Kingdom

Performance Engineer at KCG Holdings, Inc., Feb 2016 - May 2017 · 1 yr 4 mos, London, United Kingdom, Took a broad view of performance across trading systems and driving improvements. Part of a small person team driving a performance agenda across the firm. Involved regular collaboration with infrastructure, operations, software and FPGA development as well as trading teams. Hands-on work on measurement tools and infrastructure, monitoring, connectivity and optimisation of performance critical code. Benchmarking of vendor equipment including servers, network adapters, time synchronisation solutions etc.

Staff Software Engineer at Solarflare Communications, May 2013 - Feb 2016 · 2 yrs 10 mos, Cambridge, United Kingdom, Member of CTO’s staff. Part of small team architecting next generation network controller, which is the core technology for the company. Also contributed to technology strategy more broadly. Architecture for a range of network capture products, remaining hands-on and regularly checking in code in the process. Included frequent interaction with customers and partners. Previously member of the development team for an FPGA acceleration platform. This included work at all levels of the stack, from hardware architecture through firmware and drivers to host application software. Developed large parts of the co-simulation infrastructure.

Research Associate at University of Manchester, Mar 2010 - May 2013 · 3 yrs 3 mos, Manchester, United Kingdom, Looked into ways of harnessing large scale parallelism on future manycore devices, using dataflow principles. Research included scalable Transactional Memory, scalable memory coherence and consistency models and their implementation, and appropriate programming models.

Research Assistant at University of Edinburgh, 2008 - 2010 · 2 yrs, Edinburgh, United Kingdom, Explored the potential for Thread Level Speculation on a wide range of applications and using machine learning techniques to improve the performance of speculative execution.

Education

PhD, Informatics (Computer Architecture), The University of Edinburgh

MSc, High Performance Computing, The University of Edinburgh

Profile highlights

What I'm currently working on: Vibecoded projects

Public links

github: https://github.com/agarwalpratyaksh