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Prateek Gulati

Software Engineer II

Dell Technologies

Biography

I am currently working as a Software Engineer II at Dell EMC. I am also enrolled in External Vision AI Program at The School of AI, Bangalore. My primary research interests include Object Detection, Recognition, and generative models like GANs and Autoencoders. I am looking forward to working on developing efficient and adaptive models that are scalable and generic, hence, bridge-in the gap between academia and industry.

Interests

  • Deep Learning
  • Machine Learning
  • Natural Language Processing

Education

  • BTech in Computer Science (major) and Mathematics(minor), 2013-2017

    Shiv Nadar University

  • Extensive Vision AI Program, 2019-present

    The School of AI

Experience

 
 
 
 
 

Software Engineer II

Dell

Jul 2017 – Present Bangalore, India

  • Chat Assistant:

    • Built first chat assistant to be onboarded on Skype for Business within Dell IT across Globe. This bot deals with inventory related issues.
    • Built a self sufficient portal to onboard a chatbot on Skype with minimal technical knowledge.

  • Part of IT Patent Review Comittee FY19

  • Solving problems in Supply Chain and doing POC as part of Quality Engineering Org

 
 
 
 
 

Research Intern

Aspiring Minds

Jan 2017 – Jun 2017 Gurgaon, India
  • Worked on Automatic Grading of Computer Programs: A Machine Learning Approach (published ICMLA 2013) and extended the research to multiple languages.
  • Implemented a parse tree based approach to extract features from uncompilable code snippet as well (Grading Uncompilable Programs - published AAAI 2019).
 
 
 
 
 

Intern Undergrad Associate

Dell

May 2016 – Jul 2016 Hyderabad, India
  • Built a dashboard webapp that helps an organization to establish, optimize, and sustain resource utilization.
  • Internnovation Finalist
 
 
 
 
 

Research Intern

Videocon DTH

Jun 2015 – Jul 2015 Greater Noida, India
Built a tele-recommendation system using collaborative filtering to enhance the user experience.

Projects

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All Computer Vision

Facial feature manipulation using Adversarial Networks

Given a facial image, this can generate 24 different images by altering the race, gender and age of the person.

Stanford DawnBench - CIFAR10

An attempt to beat DawnBench using modified Resnet9

Tiny-Imagenet Challenge

Modified version of DenseNet architecture to train on tiny-ImageNet dataset.

Publications

Binary strings of length 'n' with 'x' zeros and longest 'k'-runs of zero

Acknowledged for building a python algorithm to compute large values of ‘n’ and recognize patterns.

Certifications

External Internship Program Phase-2

The School of AI Jul 2019 – Jul 2019
RNN & LSTM, GAN, and Encoder Decoder Architecture.
See certificate

External Internship Program Phase-1

The School of AI Feb 2019 – Mar 2019
DNN Architecture, Covolution, Pooling, Batch Norm and Data Augmentation

Awards and Honors

Blockchain Hackathon Winner

Dell Technologies Sep 2019
Built a private blockchain for Dell’s supply chain and its interaction with Supply Logistic Center and 3rd Party Vendors.
Scope: Institutional – National

InnovateToInspire Hackathon Winner

EESL May 2019
Devised an End-to-End solution to promote electricity conservation for customers, manage surge pricing efficiently and monetize data from Smart Meters for the Government of India.
Scope: National

GameChanger Award

Dell Technologies Mar 2019
Recipient of first GameChanger Award, the highest recognition at Dell for excellent contribution in designing and building Platform-As-A-Service for chatbot.
Scope: Institutional – International

Innovator of the year

Dell Technologies Dec 2018
Recognized as the innovator of the year at the annual Tech Fest at Dell.
Scope: Institutional – National

Hack.Fin Winner

Dell Technologies Nov 2018
Designed an End-to-End solution that eases the way collectors of Dell operate.
Scope: Institutional – National

Dell Digital IT Summit Winner

Dell Technologies Jun 2018
Recognized for building the best app in Customer Experience.
Scope: Institutional – National

AI Hackathon Runners-up

Dell Technologies Oct 2017
Built a Deep Neural Network to predict resolution action for a stuck order in Dell’s supply chain involving 3rd Party Vendors.
Scope: Institutional – International (Placed 2nd / 150+ teams from Brazil, Malaysia and India)

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