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Arsh Goyal

Software Engineer at Google (Borglet ML Infrastructure)

ML InfrastructurePythonC++Security AnalyticsFull-Stack DevelopmentDeep Learning (LSTM)
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About

I'm Arsh Goyal, a Software Engineer at Google currently focused on Borglet ML Infrastructure. My career has been a journey through some of the most dynamic environments in tech, including roles at Amazon and Citrix, alongside a strong academic foundation from USC. I specialize in building robust systems at the intersection of machine learning, security analytics, and large-scale infrastructure. I am deeply passionate about the resilience of the tech community and the power of continuous learning. Having navigated the highs and lows of the industry, I believe in turning every challenge into a 'next chapter' for growth. I’m always looking to connect with fellow engineers and researchers to share insights on ML systems or to support peers navigating their own career paths. Let’s explore how we can create mutual value.

Networking

What I can offer

  • ›Technical expertise in ML infrastructure and security analytics
  • ›Insights into full-stack development and DevOps
  • ›Guidance on navigating career transitions and competitive tech hiring

Looking for

  • ›expanding my professional network
  • ›exploring mutual opportunities in ML infrastructure and software engineering

Best fit for

Software engineersML researchersTech community members impacted by layoffsAcademic collaborators

Current Interests

Machine Learning InfrastructureNatural Language ProcessingCybersecurity AnalyticsGenerative Text ModelsLarge-scale Systems

Background

Career

Progressed from internships at GlobalFoundries and Citrix to full-time roles at Citrix and Amazon, eventually joining Google's ML infrastructure team.

Education

Master of Science (MS) in Computer Science from University of Southern California (2023 – 2025); Bachelor of Technology (BTech) in Computer Science from PES University (2018 – 2022).

Achievements

  • ›Co-authored 'Twitter Bot Detection and Ranking Using Supervised Machine Learning Models' (IEEE Xplore)
  • ›Co-authored 'Stacked LSTM model for Shakespeare Style Poem Generation' (Springer)
  • ›Successfully transitioned through engineering roles at Citrix, Amazon, and Google

Opinions

  • Professional setbacks like layoffs are opportunities to come back stronger
  • Continuous upskilling and networking are essential during career transitions
  • Human connection is valuable even in remote-heavy professional settings