Jeevan Singh Bhoot
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Jeevan Singh Bhoot Email & Phone Number

Machine Learning Engineer | MEng Information Engineering @ Cambridge at Myrtle.ai
Location: United Kingdom, United Kingdom, United Kingdom 8 work roles 2 schools
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Role
Machine Learning Engineer | MEng Information Engineering @ Cambridge
Location
United Kingdom, United Kingdom, United Kingdom
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Jeevan Singh Bhoot is listed as Machine Learning Engineer | MEng Information Engineering @ Cambridge at Myrtle.ai, a company with 20 employees, based in United Kingdom, United Kingdom, United Kingdom. AeroLeads shows a matched LinkedIn profile for Jeevan Singh Bhoot.

Jeevan Singh Bhoot previously worked as Machine Learning Engineer at Myrtle.Ai and Machine Learning Intern at Myrtle.Ai. Jeevan Singh Bhoot holds Master Of Engineering - Meng, Engineering from University Of Cambridge.

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Myrtle.ai

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About Jeevan Singh Bhoot

Jeevan Singh Bhoot is a Machine Learning Engineer | MEng Information Engineering @ Cambridge at Myrtle.ai.

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Jeevan Singh Bhoot's current company

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Myrtle.ai
Myrtle.Ai
Machine Learning Engineer | MEng Information Engineering @ Cambridge
cambridge, cambridgeshire, united kingdom
Website
Employees
20
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8 roles

Jeevan Singh Bhoot work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer

Current

- Implementing novel approaches to weight and activation quantization of Large Language Models (LLMs)- Evaluating emission latency of our ASR (RNN-Transducer) system- Improving emission latency of our ASR solution- Experimenting with the architecture of RNN-T and the use of a convolutional frontend feature extractor.- Unit testing for our ML systems..

Oct 2023 - Present

Machine Learning Intern

- Improving training of lightweight vision transformers (ViTs) for use in resource constrained situations- Employing sharpness aware minimisation, thus significantly improving performance when training custom (smaller) models from scratch, and improving robustness to changes in model parameters and image corruption.- Pruning of attention heads in ViT to.

Jul 2022 - Aug 2022

Medical Imaging And Machine Learning Intern

  • Development of a segmentation model, including a pre-processing pipeline, to segment the prostate from MRI scans, achieving state of the art performance with FastAi (/PyTorch), for usage in a product to identify and.
  • Research, experimentation, and evaluation of various techniques, architectures, and hyperparameters to further boost performance: progressive resizing, learning rate annealing, normalisation, ensembling, and the use of.
  • Research, experimentation, and evaluation of various techniques, architectures, and hyperparameters to further boost performance: progressive resizing, learning rate annealing, normalisation, ensembling, and the use of.
  • Development of a 3D segmentation model to segment various organs from MRI scans.
  • Manual labelling of medical segmentation data. Show less
Jun 2021 - Sep 2021

Liaison Officer

Trinity College Engineering Society
Jun 2020 - Jun 2021

Brand Manager

  • Curating the society’s brand by producing unique merchandise, and guidelines for logo usage, publicity design and website visuals.
May 2020 - Jun 2021

Counter Assistant

Leicester, United Kingdom

  • Checked deliveries of pharmaceutical products, practising correct medical and safety procedures.
  • Ensured the maintenance of a safe and hygienic working environment.
  • Operation of a POS terminal and management of store finances.
  • Delivered exceptional customer service, including communication in foreign languages.
Aug 2017 - Dec 2018

Research Intern

Leicester, United Kingdom

  • Awarded a CREST Gold Award for research of practical significance for the development of aircraft and power systems.
  • Conducted research into streamwise vortices that form on a cylinder when in cross flow.
  • Produced a MATLAB code to digitally analyse flow visualisations of the vortices – the number of striations was counted, from which other values were calculated, leading to new discoveries of the properties of the.
  • Use of Adobe Photoshop to edit images… Show more
  • Use of Adobe Photoshop to edit images before being processed.
  • Formulated a suitable flow visualisation procedure which involved the use of linseed oil, Brij-010, Titanium Dioxide and an ultrasonic emulsifier. Show less
Jul 2018 - Aug 2018

Junior Designer

Hodges & Drake Design Limited

Leicester, United Kingdom

  • Use of Adobe Photoshop and Illustrator to produce various graphic pieces including app user interfaces for Hershey’s, keypad layouts, shop counter illustrations and Christmas card designs.
  • Sketched concept designs for reputable companies (e.g. coffee machines for Costa) whilst researching existing products, themes, anthropometric data and aesthetics.
Nov 2016 - Dec 2016
Team & coworkers

Colleagues at Myrtle.ai

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2 education records

Jeevan Singh Bhoot education

Master Of Engineering - Meng, Engineering

MEng: Honours with Merit BA: First Class Honours Awarded Senior Scholar at Trinity College Masters Thesis: Enhancing Virtual Shoe Try-On.

Education record

Wyggeston & Queen Elizabeth I College

A-Levels: Mathematics - A* Further Mathematics - A* Physics - A* Electronics - A*

FAQ

Frequently asked questions about Jeevan Singh Bhoot

Quick answers generated from the profile data available on this page.

What company does Jeevan Singh Bhoot work for?

Jeevan Singh Bhoot works for Myrtle.ai.

What is Jeevan Singh Bhoot's role at Myrtle.ai?

Jeevan Singh Bhoot is listed as Machine Learning Engineer | MEng Information Engineering @ Cambridge at Myrtle.ai.

Where is Jeevan Singh Bhoot based?

Jeevan Singh Bhoot is based in United Kingdom, United Kingdom, United Kingdom while working with Myrtle.ai.

What companies has Jeevan Singh Bhoot worked for?

Jeevan Singh Bhoot has worked for Myrtle.Ai, Lucida Medical Ltd, Trinity College Engineering Society, Cambridge University Engineering Society, and Alfa Chemists.

Who are Jeevan Singh Bhoot's colleagues at Myrtle.ai?

Jeevan Singh Bhoot's colleagues at Myrtle.ai include Jan Guzik, Michal Borsky, Iria Pantazi, Andrew D., and Alex Pay.

How can I contact Jeevan Singh Bhoot?

You can use AeroLeads to view verified contact signals for Jeevan Singh Bhoot at Myrtle.ai, including work email, phone, and LinkedIn data when available.

What schools did Jeevan Singh Bhoot attend?

Jeevan Singh Bhoot holds Master Of Engineering - Meng, Engineering from University Of Cambridge.

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