Jitender Singh Virk

75D-R, Model Town, Karnal, Haryana 132001

+919050196993 | krivsj@gmail.com

EDUCATION

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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

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• 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)
• 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)

• 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

• 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

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• 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.

• 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.

• 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

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

PUBLICATIONS & ARTICLES

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• 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

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• 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

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• Invited assistant speaker for three days Machine Learning workshop

• 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

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