Kaushik Manchella in

Kaushik Manchella

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Principal Engineer - ML Infra, Graph Compiler at SambaNova Systems
📍 Austin, Texas, United States

Kaushik Manchella is a Principal Software Engineer at SambaNova Systems, specializing in deep learning infrastructure, compilers, and frameworks. With a background from Intel and a Masters degree from Purdue University, he focuses on bridging machine learning research into production by simplifying complex systems and enhancing open-source model integration.

Outside of his technical role, Kaushik has shown a strong commitment to community and leadership. He was selected as a Purdue Old Masters Host, an honor for distinguished alumni, and has expressed passion for humanitarian causes like Engineers Without Borders, which aims to provide water to remote regions.

Unique fact: As a student, he was one of only 50 campus leaders chosen to represent Purdue University for the distinguished Old Masters program.

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Experience
8 Years
Current Role
Principal Engineer - ML Infra, Graph Compiler
Job Level
Middle
Location
Austin, Texas, United States
Personality Overview

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Decision Approach
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Priorities

Topics Kaushik cares about

Deep Learning Infrastructure
His current role at SambaNova Systems and previous work at Intel is centered on building and optimizing deep learning frameworks, compilers, and infrastructure.
Distributed Training Systems
At Intel, he led the development and adoption of a distributed training infrastructure using Kubernetes and worked on enabling collective communication between nodes.
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Career

Work history

9-2023
Principal Engineer - ML Infra, Graph Compiler
SambaNova Systems
4-2022 - 9-2023
Senior Software Engineer - ML Frameworks
SambaNova Systems
3-2021 - 4-2022
Machine Learning Engineer
Intel Corporation
8-2018 - 12-2020
Graduate Teaching Assistant - EPICS
Purdue University
1-2020 - 8-2020
Graduate Researcher
Purdue University
In the press

Media appearances

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Education
2018 - 2020
Master's degree (Thesis)
Purdue University
Bachelor's Degree
Purdue University
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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