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A Few Learnings from Building a Bootstrapped MLOps Services Startup

Posted Sep 26
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SPEAKER
Soumanta Das
Soumanta Das
Soumanta Das
Co-founder @ Yugen.ai

Soumanta is a Co-founder at Yugen.ai, an early-stage startup in the Data Science and MLOps space.

We imagine the future to be shaped by the convergence and simultaneous adoption of Algorithms, Engineering and Ops, and Responsible AI. Our mission is to help effectuate and expedite the same for our client partners by creating large-scale, reliable and personalized ML Systems.

+ Read More

Soumanta is a Co-founder at Yugen.ai, an early-stage startup in the Data Science and MLOps space.

We imagine the future to be shaped by the convergence and simultaneous adoption of Algorithms, Engineering and Ops, and Responsible AI. Our mission is to help effectuate and expedite the same for our client partners by creating large-scale, reliable and personalized ML Systems.

+ Read More
SUMMARY

Determining Minimum Achievable Goals helps Yugen.ai ensure a significant amount of focus on value-added and impact before diving deep into solutions & building ML Systems. In this episode, Soumanta discusses Balancing ML Development vs Ops and Monitoring efforts while scaling plus their focus on improvements in small sprints. Soumanta wouldn't claim they've reached where they want to and they're still learning, so he's happy sharing successes as well as failures at Yugen.ai.

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