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Aurimas Griciūnas

Aurimas Griciūnas, a seasoned Data Professional with over a decade of experience, specializes in constructing large-scale Data Capabilities to aid organizations in realizing their Data-driven ambitions.

Chief Product Officer at neptune.ai
Talks about

Aurimas advocates robust Self-Service Data and ML Platforms as the linchpin for organizational success in expanding Data initiatives and shares crucial insights into LLM and Data Engineering Systems.

data pipeline
data contracts
data engineering
Badges
Data Founder
Data Engineering Expert
Top Voice

Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

Author of SwirlAI Newsletter

This popular newsletter is home to diverse discussions and articles on topics from Kubernetes to Data Contracts, Data Engineering to LLM. He shares his learnings, tips, and guidance on all things Data Engineering.

LinkedIn Top Voice

Aurimas is celebrated as LinkedIn Top Voice for his recognisable thought leadership and expertise in LLMOps, foundation models, and scalable AI and data systems.

Notable Contributions

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Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

Data Engineering
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Blog
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6 min

Memory in Agent Systems

In this article, Aurimas elaborates on how agent memory enables contextual decision-making, combining short-term memory for immediate tasks and long-term memory (episodic, semantic, procedural) for continuity and grounding.
Data Engineering
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Video
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47 min

LLM Ops

In Episode 251 of this Podcast, Aurimas shares insights into LLM ops and its challenges and the importance of branching experiments and fine-tuning models to further scale the outcomes of LLM ops.
Data Engineering
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Video
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19 min

Observability in LLMOps: Different Levels of Scale

Aurimas Griciūnas discusses observability in the LLMOps platform and pipeline, focusing on areas that benefit from infrastructure scale.
Data Engineering
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Blog
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5 min

Data Contracts in the Data Pipeline.

In its simplest form Data Contract is an agreement between Data Producers and Data Consumers on what the Data being produced should look like, what SLAs it should meet and the semantics of it.
Data Engineering
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Podcast
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41 min

Data Advocacy, Machine Learning Testing, and Data Teams

With over a decade in data-related roles, working with Data Science, Data Engineering, Machine Learning, and MLOps Engineering, Aurimas Griciūnas is a great role model for many people wanting to learn more about data.
Data Engineering
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Podcast
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69 min

Demystifying MLOps

Insights from one of the best Senior MLOps Engineer Aurimas Griciūnas
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Data Feast Weekly

Get weekly insights on modern data delivered to your inbox, straight from our hand-picked curations!