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Mukil Loganathan

Software Engineer

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About

Mukil Loganathan is an experienced Software Engineer with a strong background in Machine Learning and UI development. Currently working at robust intelligence, Mukil has previously held positions at prominent tech companies such as Verkada and Berkeley DeepDrive. At Verkada, Mukil worked as a Software Engineer II, where he was responsible for developing and maintaining software systems for the company's cloud-based security cameras. During his time at Berkeley DeepDrive, Mukil worked as a Machine Learning Engineer on the Scalabel team, where he designed a user-friendly, collaborative labeling system for image data. His responsibilities included building out the Scalabel UI, setting up container infrastructure, and building models to aid users in labeling. Mukil's educational background is equally impressive, having graduated from the University of California, Berkeley with a Bachelor of Arts in Computer Science, Applied Math, and Data Science. His technical expertise spans across various areas, including Software Engineering, Machine Learning, UI development, and infrastructure. With nearly 9 years of relevant experience, Mukil has established himself as a skilled and versatile Software Engineer. He is highly proficient in a range of technologies and is always eager to learn and explore new areas. Mukil's passion for technology and his commitment to excellence make him an asset to any team he works with.

Education Overview

university of california berkeley

Companies Overview

robust intelligence

verkada

berkeley deepdrive

wealthfront inc.

massdrop

sidekicks inc.

berkeley computer science

berkeley indus

university of california berkeley haas school of business

cupertino high school

Experience Overview

7 Years

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Experience

Software Engineering Team Lead

robust intelligence | San Francisco, California, United States

2021 - Present

Software Engineer II

verkada

2020 - 2021

Machine Learning Engineer

berkeley deepdrive

2019 - 2019

Backend Software Engineer

wealthfront inc.

2018 - 2019

Software Engineer Intern

massdrop | San Francisco Bay Area

2017 - 2017

Software Engineering Intern

sidekicks inc. | San Francisco Bay Area

2016 - 2016

CS61A Lab Assistant

berkeley computer science

2016 - 2016

Director of Finance

berkeley indus | University of California, Berkeley

2015 - 2017

Treasurer

cupertino high school | Cupertino, California

2013 - 2015

Skills

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Data Science

Data Scientist

infra

Infrastructure

Machine Learning (ML)

Software Engineering

ui

Contact Details

Email (Verified)

mukXXXXXXXXXXXXXXXXXXXXXXXXdu

Mobile Number

+91XXXXXXXXXX

Education

university of california berkeley

Bachelor of Arts - BA

2015 - 2019

Frequently asked questions

What company does Mukil Loganathan work for?

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Mukil Loganathan works for robust intelligence

What is Mukil Loganathan role in his workplace?

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Mukil Loganathan's role in his workplace is Software Engineering Team Lead

What is Mukil Loganathan's tenure in his workplace?

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Mukil Loganathan's tenure in his workplace is 3.25 years

What is Mukil Loganathan's total experience?

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Mukil Loganathan's total experience is 7.00 years

What is Mukil Loganathan's LinkedIn profile?

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Mukil Loganathan's LinkedIn profile can be found here

What is Mukil Loganathan's email address?

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Mukil Loganathan's email address is mukXXXXXXXXXXXXXXXXXXXXXXXXdu. Unlock here

What is Mukil Loganathan's phone/WhatsApp number?

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Mukil Loganathan's phone number is +91XXXXXXXXXX. Unlock here

What schools did Mukil Loganathan attend?

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Mukil Loganathan has attended university of california berkeley

What companies has Mukil Loganathan worked with?

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Mukil Loganathan has worked with robust intelligence, verkada, berkeley deepdrive, wealthfront inc., massdrop, sidekicks inc., berkeley computer science, berkeley indus, university of california berkeley haas school of business, cupertino high school

What are some of Mukil Loganathan's skills?

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Mukil Loganathan has skills in Data Science, Data Scientist, infra, Infrastructure, Machine Learning (ML), Software Engineering and more.

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