Available for talks & workshops

Hi, I'm Saumya — I make ML systems you can trust.

Senior Machine Learning Engineer in Munich, working in MLOps and LLM observability. I love turning fuzzy prototypes into production systems — and telling the story on stage at conferences, workshops, and meetups.

Portrait of Saumya Goyal
I work onMLOpsLLM ObservabilityGenAI in productionRAG & agent evalsData workflow tooling
About

Making the invisible parts of ML visible.

I'm a Senior Machine Learning Engineer at Datamics, where I help teams take MLOps and LLM systems from prototype into production — and make sure they stay observable once they're there.

Before Datamics I was at Verizon. I'm an AWS Solutions Architect and an Informatics graduate of the Technical University of Munich. When I'm not shipping, I'm usually writing or speaking about making ML systems easier to trust.

Based inMunich, Germany
NowSenior ML Engineer @ Datamics
PreviouslyVerizon
EducationTUM — Informatics, M.Sc.
CertifiedAWS Solutions Architect
Featured talk

You Can't Improve What You Can't See: Making LLMs Transparent & Accountable

Large language models fail in quiet, expensive ways. This talk makes the case that observability and rigorous evaluation aren't add-ons but the foundation of trustworthy LLM systems — how to instrument, trace, and hold generative models accountable so teams can actually improve what they ship.

Event
ML Conference
When
November 27, 2025
Topics
LLMs, Observability, Evaluation, Trustworthy AI
All talks & speaking profile →
Selected work

What I spend my days on.

  • 01

    LLM Observability & Evaluation

    Building tooling to monitor, measure, and audit LLM behavior in production, so teams can trust what they ship.

  • 02

    MLOps Pipeline Integration

    Helping teams fold MLOps practices into existing production pipelines — from data versioning to deployment and monitoring.

  • 03

    Data Workflow Tooling

    Hands-on work with tools like Voxel51 and Label Studio to streamline how teams label, review, and manage ML data.

From the room

What people say after.

Feedback from organizers and audiences. (Adding more real quotes soon.)

  • One of those rare talks that made a genuinely hard topic feel obvious. I left with things I could apply the next morning.
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    Attendee, ML Conference · LinkedIn
  • Clear, energetic, and deeply technical without ever losing the room. Exactly the kind of speaker you want on the main stage.
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    Track Chair · Event feedback
  • Saumya turns MLOps from a buzzword into something you can actually build. Brilliant on stage and even better in the Q&A.
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    Engineering Lead · LinkedIn

Let's build something worth trusting.

Open to speaking invitations, workshops, and MLOps / LLM engineering conversations.

Book a 25-minute call

Grab a slot — happy to talk MLOps, LLM observability, or speaking.

Schedule on Google Calendar