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Jitender Singh Virk

75D-R, Model Town, Karnal, Haryana 132001
+919050196993 | [email protected]

EDUCATION

Bachelor of Technology in Computer Science and Engineering

July 2013 - July 2017

JECRC University

Jaipur, Rajasthan

Cumulative GPA: 7.24 / 10.00

  • Dissertation title: Real-time Twitter Sentiment Analysis with Big Data and Hadoop Ecosystem
  • Undergrad projects: Teacher Review System (code), Home Automation System (code, extension)

RESEARCH EXPERIENCE

Machine Learning and Computer Vision Research Assistant

Mar 2019 - Present

CBIL Lab, Indian Institute of Technology (IIT) Ropar

Rupnagar, Punjab

* Working on risk prediction for Postpartum Depression (PPD) in collaboration with Uppsala University Hospital, Uppsala, Sweden * Designed, Developed and Implemented a lightweight convolutional neural network architecture using mixed asymmetric kernels ([preprint](https://arxiv.org/abs/2005.11746)) * Organized, collected, and cleaned ~1.5TB unlabeled CT scans dataset for semi-supervised training * Worked on multi-modal classification of Alzheimer’s using MRI and PET scan (under review)

Computer Vision and Deep Learning Research Assistant

Aug 2018 - Feb 2019

LASII group, Indian Institute of Technology (IIT) Ropar

Rupnagar, Punjab

  • Developed Computer Vision based Android app for automatic collage maker in collaboration with Samsung India
  • Developed Deep Learning based Android app for background danger detection while taking selfies

Machine Learning/Artificial Intelligence Innovation Fellow

July 2018 - Dec 2018

Savera.ai startup (Sungineers Energy Private Limited)

Work from home

  • Developed Indian building’s rooftop segmentation model with satellite images (code)
  • Presented data cleaning, preprocessing, training and postprocessing end-to-end pipeline for building’s rooftop detection and segmentation

PROJECTS & TRAINING

Artificial Intelligence Search Algorithms Interactive Web App

Nov 2020 - Jan 2021

Term Paper Project, Chandigarh University

Kharar, Punjab

  • Developed interactive web app to visualize uninformed search algorithms in runtime. (Webapp, code, term paper)
  • Implemented breadth first search, depth first search, depth limited search, and iterative deepening depth first search with Romania's city map as search state space.

YAMLF: Yet Another Machine Learning Framework project

Jun 2020 - Jul 2020

CBIL Lab, Indian Institute of Technology (IIT) Ropar

Rupnagar, Punjab

  • Developed a lite PyTorch based Machine Learning Python wapper module named YAMLF for easy neural networks training and testing (code)
  • Implemented several boiler-plate functions for supervised & semi-supervised learning image & text classification.

AI Research Fellow

Aug 2017 - May 2018

Axis India Machine Learning Lab

Jaipur, Rajasthan

  • Implemented Face Recognition and Verification using Deep Learning and Transfer Learning
  • Developed road lane detection in real-time GTA 5 video game (code)
  • Studied Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning fundamentals

Undergraduate Intern

Feb 2017 - July 2017

Headstart Education | IBM Bussiness Partner

New Delhi, India

  • Developed real-time Twitter sentiment analysis using Big Data and Hadoop (code)

PUBLICATIONS & ARTICLES

  • Jitender Singh Virk, Deepti R. Bathula. “Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging”. CODS-COMAD 2021. Paper, preprint.
  • Apoorva Sikka, Skand Peri, Jitender Singh Virk, Deepti R. Bathula “MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN for Multi-Modal Diagnosis of Alzheimer’s Disease” Medical Image Analysis. 2020 (under review).
  • Jitender Singh Virk, Syed Azmal Ali, Gurjeet Kaur. “Recent update on COVID-19 in India: Is locking down the country enough”. medRxiv.
  • Jitender Singh Virk, Abhinav Dhall. “Garuda: A Deep Learning-Based Solution for Capturing Selfies Safely” ACM IUI 2019. IUI, demo, Times of India (TOI), Gadgets Now.
  • Rudradeb Mitra, Jitender Singh Virk, Iresh Mishra. “Increasing solar adoption in the developing world by analyzing low-resolution Satellite images using Machine Learning”. medium.com; datasciencecentral.com.

SKILLS & INTERESTS

  • Programming Languages and Technologies: Python, C++, Java, R, MS SQL Server, JavaScript, Bootstrap4, CSS3, HTML5, and markdown
  • Tools and frameworks: PyTorch, Keras, TensorFlow, Jupyter, Android, Flask, and Jekyll
  • Languages: English (fluent), Hindi (fluent), and Punjabi (native)
  • Interests and hobbies: Street Photography (500px), Adobe Photoshop CS6, CC-19, Adobe Lightroom 5, Internet of Things (IoT), Raspberry Pi, Arduino, and Bhangra (Punjabi folk dance)

LEADERSHIP & TEAMWORK EXPERIENCE

Machine Learning Workshop Assistant speaker

21-23 Aug 2017

Sikkim Manipal Institute of Technology

Majitar, East Sikkim

  • Invited assistant speaker for three days Machine Learning workshop

JU Rhythm (techno-cultural fest), RC Car event Head-Coordinator

Mar 2016

JECRC University

Jaipur, Rajasthan

  • Organized two days National Level RC racing car event
  • Designed and Deployed National Level RC car racing event Arena of size 110ft x 94ft
  • Managed 20 volunteers team to build the arena in 15 days

JU Rhythm (techno-cultural fest), RC Car event Arena-Coordinator

Feb 2015

JECRC University

Jaipur, Rajasthan

  • Designed and Deployed National Level RC car racing event Arena of size 70ft x 80ft